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fixes #21

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Switched from Ant to Maven.

Usage: 

- Install Maven 3.x
- Enter directory with pom.xml
- Type mvn compile
- Enjoy!
This commit is contained in:
Fabian Becker
2012-05-28 21:23:12 +00:00
parent 5171371a8e
commit b1553f3088
46 changed files with 592 additions and 131 deletions
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CHANGELOG Normal file
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--- Changelog ---
2.05: Added ScatterSearch (real-valued), BinaryScatterSearch, and the Bayesian Optimization Algorithm (thanks
to Alexander Seitz) to the base package. Added JobList and some statistical measures. Requires to put
the JSC package on the class path for Mann-Whitney test.
2.046: Adaptions to the MatlabInterface: explicit data types are used now, added integer problem support.
Additional Integer operators: segment-wise mutation and crossover. Added an abstraction over individual
initialization methods. Added the ERPStarter class which is an example for running a csv-configured
optimization. Some bug-fixes and clean-ups.
2.045: Added MOOCMAES (de Paly); compatibility with Java 1.5 (Draeger); Revision of the statistics class
with improved pipelining of data (InterfaceAdditionalPopulationInformer); improved FunctionArea
concerning history, labels, legend and graph coloring; improved StringSelection; restructured
Terminators, additional ParetoMetricTerminator. Further bugfixes and clean-ups.
2.043: Added proper Population equality predicate.
2.042: Some bugfixes. Removing dependency on sun.beans.editors, replaced non-free jpeg-codec. There should
be no more problems on OpenJDK. Added a simple initialization range, especially for use from Matlab.
Some restructurings (RNG and Mathematics is now in eva2.tools.math). Some cleanup.
2.040: Several updates: The clustering interface has been changed for easier implementation of adaptive clustering
methods. The GradientDescentAlgorithm has been updated and some benchmark problems been made derivable.
The ClusterBasedNiching algorithm has been slightly restructured updated according to the new clustering.
An additional clustering method is included: nearest-best clustering with dynamic adaption of niche radius.
Some changes to (text) statistics: they are now printed regarding the full solution set instead of the
last population. The Population field "size" is now termed "targetSize" to avoid misunderstandigs. Populations
can be initialized using a Random Latin Hypercube sampling. Some basic console options are recognized:
EvA2 can be started without splash screen and even without GUI. If configuration file is given which was
earlier saved from the GUI, the thus defined optimization run is then processed automatically by EvA2.
2.036: New graph selection mode for statistic plots: every property may be selected independently.
A simple plot legend is produced in the graph window, which can be deactivated.
2.035: Reactivated some of the model-based functionality within the GO framework. Minor bugfixes.
2.034: Adding a generic parameter control method for optimizers, currently used by PSO to adapt inertness depending
on EvaluationTerminator or GenerationTerminator instances defining the number of function evaluations.
The new package is eva2.server.go.operators.paramcontrol.
A Population may now be ordered by a specific fitness criterion, employed, e.g., by Nelder-Mead-Simplex.
2.033: There was an interesting problem with the Matlab-Interface, which just hung up after extensive optimization
loops, yet only if Matlab was started without X-forwarding (which is necessary for qsub, e.g.).
Debugging was tedious, since the debugging using System.out. itself caused threading deadlocks. The
problem showed up to be with System.out itself. Whatever Matlab does with that stream, it does it differently
depending on the X-forwarding option. More specifically, the text written to System.out when X-forwarding
is not available seems to never show up (as opposed to being printed to the console when X-forwarding is on)
and silently fill up the JVM-memory. I havent the faintest idea why there havnt been OutOfMemory exceptions
earlier or whether and how the deadlocks have to do with it.
The ingenious solution was: dont print anything to System.out, which is now done at verbosity 0.
2.032: Some cosmetics, e.g. to AbstractEAIndividualComparator and older MOCCO classes.
2.031: Some updates to the OptimizerFactory. Review of the MatlabInterface with adding an own options structure.
Better access to the EvAClient, which now may have a RemoteStateListener added monitoring the optimization run.
2.030: Added an EnumEditor to access enums easily through the GUI, which will replace SelectedTags sometimes.
IPOP-ES and RankMuCMA mutator have been added lately (wow!).
Cleaned up the IndividualInterface and reduced the usage of InterfaceESIndividual. This
means that, e.g., that DE and PSO now also work on GAIndividualDoubleData. Because this
requires much time for transcoding, however, this is not useful by itself. Yet it could be
interesting for combined individuals composed of two data types.
Cleaned up MutateXXDefault to a single MutateDefault, too. DE may now do range checking.
The "Description" button has made space for a "Show Solution" button. The Rank-Mu-CMA was improved
to use a CMAParameterSet which is associated with populations and not static any more.
Included Nelder-Mead-Simplex and CMA-ES as post processing methods.
2.029: Tuned the 2d-graphs which now paints quicker and changes size depending on the
surrounding plot window. Added a preloader-thread to accelerate the GUI at starting time.
2.028: Tuned the Population to sort only when necessary on calls to getBestN... Added StatisticsDummy.
Slightly tuned SimpleProblemWrapper to call initProblem of simple problems if available.
2.027: Renamed SetData and SetDataLamarckian from individual data type interfaces to SetGenotype and SetPhenotype.
Repaired the GenericArrayEditor. Population measures can now be plotted in stats.
2.026: Added DiversityTerminator and KnownOptimaTerminator, slightly changed InterfaceTerminator for these
and InterfaceStatistics to provide termination message to text window.
Killed redundant method getGenerations() in Population. Population.getAllSolutions now returns a
SolutionSet combining last population with a set of possibly archived solutions.
Post processing with HC may now use variable step size mutation.
2.025: FunctionArea may now plot circles easily. The FLensProblemViewer seems to be cured.
2.024: Cleaned up AbstractGOParams, deactivated parent logging (saving memory)
2.023: Cleaned up the PF strategy
2.022: Some changes to the SimpleProblemWrapper, not of great interest. However, simple problems may now access a plot
quite easily.
--- End Changelog ---

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Manifest.txt
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Class-Path: lib/activation.jar lib/j2ssh-common.jar lib/jmatlink.jar lib/mail.jar lib/commons-logging.jar lib/j2ssh-core.jar lib/libJMatLink.so pop3.jar lib/wsi2.jar lib/imap.jar lib/j2ssh-dameon.jar lib/log4j.jar lib/smtp.jar lib/xalan2.jar lib/j2ssh-ant.jar lib/jdom.jar lib/mailapi.jar lib/sshfactory.jar lib/libJMatLink.so lib/windows/JMatLink.dll lib/windows/SNNS_jkr.dll

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<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>eva2</groupId>
<artifactId>EvA2</artifactId>
<packaging>jar</packaging>
<version>1.0-SNAPSHOT</version>
<name>EvA2</name>
<url>http://www.ra.cs.uni-tuebingen.de/software/EvA2/</url>
<dependencies>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.10</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>javax.help</groupId>
<artifactId>javahelp</artifactId>
<version>2.0.05</version>
</dependency>
</dependencies>
<build>
<directory>${project.basedir}/build</directory>
<outputDirectory>${project.build.directory}/classes</outputDirectory>
<finalName>${project.artifactId}-${project.version}</finalName>
<sourceDirectory>${project.basedir}/src</sourceDirectory>
<testSourceDirectory>${project.basedir}/test</testSourceDirectory>
<resources>
<resource>
<directory>${project.basedir}/resources</directory>
</resource>
</resources>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-jar-plugin</artifactId>
<version>2.4</version>
<configuration>
<archive>
<index>true</index>
<addMavenDescriptor>false</addMavenDescriptor>
<manifest>
<addClasspath>true</addClasspath>
<mainClass>eva2.client.EvAClient</mainClass>
</manifest>
</archive>
</configuration>
</plugin>
</plugins>
</build>
</project>

0
resources/EvA2.props → resources/META-INF/EvA2.props
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<html>
<head>
<title>Default page</title>
</head>
<body>
<EFBFBD>
<h1 align="center">HTML description file is missing</h1>
<center>
</center><br>
Unfortunately there is no additional HTML description
file to this class. Please refer to the JOptDocumentation
file or the JavaDoc for more information on this class.
</body>
</html>

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<html>
<head>
<title>Evolution Strategy - ES</title>
</head>
<body>
<h1 align="center">Evolution Strategy - ES</h1>
<center>
</center><br>
An ES works on a population of real valued solutions
by repeated use of evolutionary operators like reproduction,
recombination and mutation.
&lambda; offspring individuals are generated from &mu; parents
by recombination and mutation (with &mu; &lt; &lambda;).
<br>
After evaluating the fitness of the &lambda;
offspring individuals, the comma-strategy selects the &mu; individuals
with the best fitness as parent population for the next generation.
On the other hand, a plus-strategy selects the best &mu; individuals
from the aggregation of parents and offspring individuals, so in this
case the best individual is guaranteed to survive.
In general, however, the comma-strategy is more robust and can easier
escape from local optima, which is why it is usually the standard selection.
<br>
</body>
</html>

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<html>
<head>
<title>Increasing Population Size ES - IPOP-ES</title>
</head>
<body>
<h1 align="center">Increasing Population Size ES - IPOP-ES</h1>
<center>
</center><br>
<p>
This class implements the IPOP (increased population size) restart strategy ES, which increases
the ES population size (i.e., lambda) after phases of stagnation and then restarts the optimization
by reinitializing the individuals and operators.<br>
Stagnation is for this implementation defined by a FitnessConvergenceTerminator instance
which terminates if the absolute change in fitness is below a threshold (default 10e-12) for a
certain number of generations (default: 10+floor(30*n/lambda) for problem dimension n).
</p>
<p>
If the MutateESRankMuCMA mutation operator is employed, additional criteria are used for restarts,
such as numeric conditions of the covariance matrix.
Lambda is increased multiplicatively for every restart, and typical initial values are
mu=5, lambda=10, incFact=2.
The IPOP-CMA-ES won the CEC 2005 benchmark challenge.
Refer to Auger&Hansen 05 for more details.
</p>
<br>
A.Auger & N.Hansen. <i>A Restart CMA Evolution Strategy With Increasing Population Size</i>. CEC 2005.
</body>
</html>

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<html>
<head>
<title>Schwefels's (sine root) function</title>
</head>
<body>
<h1 align="center">Schwefel's (sine root) function</h1>
<center>
<img src="images/f13-tex-500.jpg" width="650" height="64" aling="center">
</center>
<p>
Schwefel's (sine root) function is highly multimodal and has no global basin of attraction. The optimum at a fitness of f(x*)=0 lies at x*=420.9687. Schwefel's sine root is a tough challenge for any global optimizer due to the multiple distinct optima. Especially, there is a deceptive nearly optimal solution close to x=(-420.9687)<SUP>n</SUP>.
<p>
<p>
<img src="images/f13-schwefels-sine-root.jpg" width="667" height="493" border="2" align="center">
<br>
Schwefels's sine root function in 2D within the co-domain -500 <= <i>x</i> <= 500.
<p>
<hr>
More information about Ackley's function can be found at:
<p>
David. H. Ackley. <i>A connection machine for genetic hillclimbing.</i> Kluwer Academic Publishers, Boston, 1987.
<p>
Thomas Baeck. <i>Evolutionary Algorithms in Theory and Practice.</i> Oxford University Press, 1996.
</body>
</html>

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<html>
<head>
<title>f_1 : Sphere function</title>
</head>
<body>
<h1 align="center">The F1 hyper-parabola function</h1>
<center>
<img src="images/f1tex.jpg" width="85" height="95" border="0" align="center">
</center><br>
The hyper-parabola function is a <i>n</i>-dimensional, axis-symmetric, continuously differentiable, convex function:
<p>
Because of its simplicity every optimization-algorithm should be able to find its global minimum at <i>x</i>=[0, 0, ... , 0]
<p>
<img src="images/f1.jpg" width="480" height="360" border="2" align="middle">
<hr>
More information about the F1 function can be found at:
<p>
Kenneth De Jong. <i>An analysis of the behaviour of a class of genetic adaptive systems.</i> Dissertation, University of Michigan, 1975. Diss. Abstr. Int. 36(10), 5140B, University Microflims No. 76-9381.
</body>
</html>

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<html>
<head>
<title>Generalized Rosenbrock's function</title>
</head>
<body>
<h1 align="center">Generalized Rosenbrock's function</h1>
<center>
<img src="images/rosenbrocktex.jpg" width="500" height="78">
</center>
<p>
This function is unimodal and continuous, but the global optimum is hard to find, because of independence through the term (<i>x</i>_(<i>i</i>+1) - <i>x_i</i>*<i>x_i</i>)^2 between contiguous parameters.
<p>
<img src="images/f85.jpg" border="2">
<br>
Rosenbrock's function within the domain -5 <= <i>x</i> <= 5.
<p>
The global optimum is located in a parabolic formed valley (among the curve x^2 = x_1^2), which has a flat ground.
<br>
<img src="images/f81.jpg" border="2">
<br>
The function close to its global optimum, which is: f(<i>x</i>) = f(1, 1, ... , 1) = 0.
<p>
Rosenbrock' function is not symmetric, not convex and not linear.
<hr>
More information about Rosenbrock's function can be found at:
<p>
Kenneth De Jong. <i>An analysis of the behaviour of a class of genetic adaptive systems.</i> Dissertation, University of Michigan, 1975. Diss. Abstr. Int. 36(10), 5140B, University Microflims No. 76-9381.
<p>
Hans Paul Schwefel. <i>Evolution and optimum seeking.</i> Sixth-Generation Computer Technology Series. John Wiley & Sons, INC., 1995.
<p>
Darrell Whitley, Soraya Rana, John Dzubera, Keith E. Mathias. <i>Evaluating Evolutionary Algorithms. Artificial Intelligence</i>, 85(1-2):245-276. 1996.
<p>
Eberhard Schoeneburg, Frank Heinzmann, Sven Feddersen. <i>Genetische Algorithmen und Evolutionstrategien - Eine Einfuehrung in Theorie und Praxis der simulierten Evolution.</i> Addison-Wesley, 1994.
</body>
</html>

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<html>
<head>
<title>The step function</title>
</head>
<body>
<h1 align="center">The Step Function</h1>
<center>
<img src="images/steptex.jpg" width="350" height="120" aling="center">
</center>
<p>
The idea of this function is the implementation of a flat plateau (slope 0)in an underlying continuous function. It's harder for optimization algortihms to find optima because minor changes of the object variables don't affect the fitness. Therefore no conclusions about the search direction can be made.
<p>
<img src="images/step5.jpg" width="480" height="360" border="2" align="center">
<p>
The step function is symmetric considering the underlying function (here: f(x,y) = f(y,x)), but between the bulk constant plateau-areas not continuously differentiable.
<p>
Its minimum-area is located in the intervals: <i>f(x)</i>=<i>f</i>([-5.12,-5), ... , [-5.12,-5))=0.
<p>
<img src="images/stepopt.jpg" width="480" height="360" border="2" align="center">
<hr>
More information about the step function can be found at:
<p>
Thomas Baeck, <i>Evolutionary Algorithms in Theory and Practice.</i> Oxford University Press, 1996.
<p>
Darrell Whitley, Soraya Rana, John Dzubera, Keith E. Mathias. <i>Evaluating Evolutionary Algorithms. Artificial Intelligence</i>, 85(1-2):245-276. 1996.
<p>
Eberhard Schoeneburg, Frank Heinzmann, Sven Feddersen. <i>Genetische Algorithmen und Evolutionstrategien - Eine Einfuehrung in Theorie und Praxis der simulierten Evolution.</i> Addison-Wesley, 1994.
</body>
</html>

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<html>
<head>
<title>Schwefel's double sum</title>
</head>
<body>
<h1 align="center">Schwefels double sum</h1>
<center>
<img src="images/f2tex.jpg" width="220" height="102" border="0" align="center">
</center>
<p>
Schwefel's double sum is a quadratic minimization problem. Its difficulty increases by the dimension <i>n</i> in <i>O(n^2)</i>. It is used for analysis of correlating mutations.
<p>
It possesses specific symmetrical properties:<br>
<img src="images/schwefelsymmetrie.jpg" width="500" height="104" border="0" align="middle">
<p>
Its minimum is located at: <i>f(x)</i>=<i>f</i>([0, 0, ... , 0])=0
<p>
<img src="images/f2.jpg" width="480" height="360" border="2" align="middle">
<hr>
More information about Schwefel's double sum can be found at:
<p>
Hans Paul Schwefel. <i>Evolution and optimum seeking.</i> Sixth-Generation Computer Technology Series. John Wiley & Sons, INC., 1995.
</body>
</html>

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<html>
<head>
<title>Generalized Rastrigin's function</title>
</head>
<body>
<h1 align="center">Generalized Rastrigin's function</h1>
<center>
<img src="images/rastrigintex.jpg" width="500" height="101">
</center>
<p>
Rastrigin's function is symmetric. It is based on the simple <i>parabola function</i> (called f1 in the EvA context), but it is multimodal because a modulation term on the basis of the cosine function is added. This evokes hills and valleys which are misleading local optima.
<p>
Values used for the following illustrations: <i>A</i>=10, <i>&#969;</i>=2*&#960;, <i>n</i>=2.
<br>
<img src="images/rastrigin20.jpg" border="2">
<br>
Rastrigin's function within the co-domain -20>=<i>x</i>>=20
<p>
<img src="images/rastrigin5.jpg" border="2">
<br>
Rastrigin's function within the co-domain -5>=<i>x</i>>=5
<p>
Like Ackley's function a simple evolutionary algorithm would get stuck in a local optimum, while a broader searching algorithm would get out of the local optimum closer to the global optimum, which in this case is: f(<i>x</i>) = f(0, 0, ... , 0) = 0.
<p>
<img src="images/rastrigin1.jpg" border="2"><br>
Rastrigin's function close to its optimum.
<hr>
More information about Rastrigin's function can be found at:
<p>
Darrell Whitley, Soraya Rana, John Dzubera, Keith E. Mathias. <i>Evaluating Evolutionary Algorithms. Artificial Intelligence</i>, 85(1-2):245-276. 1996.
<p>
Eberhard Schoeneburg, Frank Heinzmann, Sven Feddersen. <i>Genetische Algorithmen und Evolutionstrategien - Eine Einfuehrung in Theorie und Praxis der simulierten Evolution.</i> Addison-Wesley, 1994.
</body>
</html>

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<html>
<head>
<title>Ackley's function</title>
</head>
<body>
<h1 align="center">Ackley's function</h1>
<center>
<img src="images/ackleytex.jpg" width="500" height="58" aling="center">
</center>
<p>
Ackley's function is multimodal and symmetrical. It is based on an exponential function and modulated by a cosine function.
The outside region is almost planar as to the growing influence of the exponential function.
In the center there is a steep hole as to the influence of the cosine function.<br>
Its minimum is at: <i>f(x)</i>=<i>f</i>([0, 0, ... , 0])=0.
<p>
The difficulty for an optimization algorithm is mid-graded because a simple optimization-algorithm like <i>hill-climbing</i> would get stuck in a local minimum. The optimization algorithm has to search a broader environ to overcome the local minimum and get closer to the global optima.
<p>
<img src="images/ackley.jpg" width="480" height="360" border="2" align="center">
<br>
Ackley's function within the co-domain -20 >= <i>x</i> >= 20, <i>a</i>=20, <i>b</i>=0.2, <i>c</i>=2*&#960;, <i>n</i>=2.
<p>
<img src="images/ackleyopt.jpg" width="480" height="360" border="2" align="center">
<br>
Ackley's function close to the optimum.
<hr>
More information about Ackley's function can be found at:
<p>
David. H. Ackley. <i>A connection machine for genetic hillclimbing.</i> Kluwer Academic Publishers, Boston, 1987.
<p>
Thomas Baeck. <i>Evolutionary Algorithms in Theory and Practice.</i> Oxford University Press, 1996.
</body>
</html>

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<html>
<head>
<title>Fitness Convergence Terminator</title>
</head>
<body>
<h1 align="center">Fitness Convergence Terminator</h1>
<center>
</center><br>
The fitness convergence terminator stops the optimization, when there has been hardly
any change in the best fitness in the population (within percentual or absolute distance) for a certain
time, given in generations or fitness calls. In case of multi-objective optimization, the 2-norm of
the fitness vector is
currently used.<br>
Be aware that, if the optimization is allowed to be non-monotonic, such as for (,)-ES strategies,
and if the optimum is close to zero, it may happen that the fitness fluctuates due to numeric
issues and does not easily converge in a relative way.<br>
Check the help for the <a href="PopulationMeasureTerminator.html">PopulationMeasureTerminator</a> for additional information.
</body>
</html>

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<html>
<head>
<title>Generic Constraints</title>
</head>
<body>
<h1 align="center">Generic Constraints</h1>
<br>
<p>To represent generic constraints on real-valued functions, this class can parse
String expressions in prefix notation of the form:
<blockquote>
&lt;expr&gt; ::= &lt;constant-operator&gt; | &lt;functional-operator&gt; "(" &lt;arguments&gt; ")"<br>
&lt;arguments> ::= &lt;expr&gt; | &lt;expr&gt; "," &lt;arguments&gt;
</blockquote>
</p>
Setting the <b>constraint string</b>:
Constant operators have an arity of zero. Examples are:<br>
(pi,0) (X,0) (1.0,0)<br>
Functional operators have an arity greater zero. Examples are:<br>
(sum,1) (prod,1) (abs,1) (sin,1) (pow2,1) (pow3,1) (sqrt,1) (neg,1) (cos,1) (exp,1)<br>
(+,2) (-,2) (/,2) (*,2)<br>
<p>
Additionally, any numerical strings can also be used; they are parsed to numeric constants. The literal <i>n</i>
is parsed to the current number of problem dimensions.<br>
Notice that only the <i>sum</i> and <i>prod</i> operators may receive the literal X as input, standing
for the full solution vector. Access to single solution components is possible by writing <i>x0...x9</i>
for a problem with 10 dimensions.
</p>
<p>
Thus you may write <font face="Courier">+(-(5,sum(X)),+sin(/(x0,pi)))</font>
and select 'lessEqZero' as relation to require valid solutions to fulfill 5-sum(X)+sin(x0/pi)&lt;=0.<br>
</p>
<p>
Typical <b>relations</b> concerning constraints allow for g(x)&lt;=0, g(x)==0, or g(x)&gt;=0 for
constraint g. Notice that equal-to-zero constraints are converted to g(x)==0 &lt;=&gt; |g(x)-epsilon|&lt;=0 for
customizable small values of epsilon.
</p>
<p>
The <b>handling method</b> defines how EvA 2 copes with the constraint. Simplest variant is an
additive penalty which is scaled by the penalty factor and then added directly to the fitness
of an individual. This will work for any optimization strategy, but results will depend on
the selection of penalty factors. Multiplicative penalty works analogously with the difference of
being multiplied with the raw fitness.<br>
In the variant called specific tag, the constraint violation is stored in an extra field of any
individual and may be regarded by the optimization strategy. However, not all strategies provide
simple mechanisms of incorporating this specific tag.
</p>
</body>
</html>

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0
resources/StatisticsParameterImpl.html → resources/html/StatisticsParameterImpl.html
View File

0
resources/Tribes.html → resources/html/Tribes.html
View File

6
src/eva2/EvAInfo.java
View File

@@ -14,12 +14,12 @@ public class EvAInfo {
// public static final String fullVersion = "2.043"; // moved to EvA2.props!
public static final String url = "http://www.cogsys.cs.uni-tuebingen.de/software/EvA2";
public static final String propertyFile = "resources/EvA2.props";
public static final String propertyFile = "META-INF/EvA2.props";
public static final String LGPLFile = "lgpl-3.0.txt";
public static final String GPLFile= "gpl-3.0.txt";
public static final String iconLocation = "resources/images/icon4.gif";
public static final String iconLocation = "images/icon4.gif";
public static final String splashLocation = "resources/images/EvASplashScreen.png";
public static final String splashLocation = "images/EvASplashScreen.png";
public static final String infoTitle = productName+" Information";
public static final String copyrightYear = "2010-2012";

33
src/eva2/client/AppExitAction.java
View File

@@ -1,33 +0,0 @@
package eva2.client;
import eva2.gui.ExtAction;
import java.awt.event.ActionEvent;
import java.awt.event.WindowEvent;
import java.awt.event.WindowListener;
/**
* Created by IntelliJ IDEA.
* User: streiche
* Date: 12.05.2003
* Time: 18:28:54
* To change this template use Options | File Templates.
*/
/**
*
*/
class AppExitAction extends ExtAction implements WindowListener{
public AppExitAction(String s, String toolTip, javax.swing.KeyStroke key) {
super(s, toolTip, key);
}
private void exit(){
System.exit(1);
}
public void actionPerformed(ActionEvent e) { exit(); }
public void windowOpened(WindowEvent e) { }
public void windowClosed(WindowEvent e) { }
public void windowIconified(WindowEvent e) { }
public void windowDeiconified(WindowEvent e) { }
public void windowActivated(WindowEvent e) { }
public void windowDeactivated(WindowEvent e) { }
public void windowClosing(WindowEvent e) { exit(); }
}

92
src/eva2/client/EvAClient.java
View File

@@ -44,7 +44,7 @@ import javax.swing.border.TitledBorder;
/**
*
*/
public class EvAClient implements RemoteStateListener {
public class EvAClient extends JFrame implements RemoteStateListener {
/**
* Generated serial version identifier.
@@ -54,7 +54,7 @@ public class EvAClient implements RemoteStateListener {
private boolean clientInited = false;
private JExtDesktopPaneToolBar desktopToolBar;
private JDesktopPane desktopPane;
private JFrame mainFrame;
//private JFrame mainFrame;
private JPanel configurationPane;
private JSplitPane horizontalSplit;
private Runnable initRnbl = null;
@@ -333,33 +333,6 @@ public class EvAClient implements RemoteStateListener {
}
}
/**
* Add a window listener to the EvA2 JFrame instance.
*
* @param l
*/
public void addWindowListener(WindowListener l) {
if (mainFrame != null) {
mainFrame.addWindowListener(l);
} else {
System.err.println("Error, no JFrame existent in "
+ this.getClass().getSimpleName());
}
}
/**
* Remove a window listener to the EvA2 JFrame instance.
*
* @param l
*/
public void removeWindowListener(WindowListener l) {
if (mainFrame != null) {
mainFrame.removeWindowListener(l);
} else {
System.err.println("Error, no JFrame existent in "
+ this.getClass().getSimpleName());
}
}
/**
* Set UI Font for all controls.
@@ -406,9 +379,9 @@ public class EvAClient implements RemoteStateListener {
}
/* Create main frame with GridBagLayout */
mainFrame = new JFrame(EvAInfo.productName);
mainFrame.setLayout(new GridBagLayout());
mainFrame.setMinimumSize(new Dimension(800, 600));
setTitle(EvAInfo.productName);
setLayout(new GridBagLayout());
setMinimumSize(new Dimension(800, 600));
/* Creates the desktopPane for Plot/Text Output */
desktopPane = new JExtDesktopPane();
@@ -432,7 +405,7 @@ public class EvAClient implements RemoteStateListener {
BasicResourceLoader loader = BasicResourceLoader.instance();
byte[] bytes = loader.getBytesFromResourceLocation(EvAInfo.iconLocation, true);
// TODO: use setIconImages (for better support of multiple icons when changing programs etc.)
mainFrame.setIconImage(Toolkit.getDefaultToolkit().createImage(bytes));
setIconImage(Toolkit.getDefaultToolkit().createImage(bytes));
try {
Thread.sleep(200);
@@ -451,7 +424,7 @@ public class EvAClient implements RemoteStateListener {
}
createActions();
mainFrame.setSize(800, 600);
setSize(800, 600);
/* Create a new ConfigurationPanel (left side) */
configurationPane = new JPanel(new GridBagLayout());
@@ -464,7 +437,7 @@ public class EvAClient implements RemoteStateListener {
gbConstraints.fill = GridBagConstraints.VERTICAL;
gbConstraints.gridwidth = GridBagConstraints.RELATIVE;
gbConstraints.gridheight = GridBagConstraints.RELATIVE;
mainFrame.add(configurationPane, gbConstraints);
add(configurationPane, gbConstraints);
/* SplitPane for desktopPanel and loggingPanel */
horizontalSplit = new JSplitPane(JSplitPane.VERTICAL_SPLIT, true);
@@ -482,7 +455,7 @@ public class EvAClient implements RemoteStateListener {
gbConstraints.fill = GridBagConstraints.BOTH;
gbConstraints.gridwidth = GridBagConstraints.REMAINDER;
gbConstraints.gridheight = GridBagConstraints.RELATIVE;
mainFrame.add(horizontalSplit, gbConstraints);
add(horizontalSplit, gbConstraints);
/* StatusBar of the main frame */
statusBar = new JPanel(new FlowLayout(FlowLayout.RIGHT));
@@ -500,9 +473,9 @@ public class EvAClient implements RemoteStateListener {
gbConstraints.weighty = 0.0;
gbConstraints.fill = GridBagConstraints.HORIZONTAL;
gbConstraints.anchor = GridBagConstraints.PAGE_END;
mainFrame.add(statusBar, gbConstraints);
add(statusBar, gbConstraints);
mainFrame.setVisible(true);
setVisible(true);
}
if (useDefaultModule != null) {
/*
@@ -517,12 +490,19 @@ public class EvAClient implements RemoteStateListener {
if (withGUI) {
buildMenu();
mainFrame.addWindowListener(new WindowAdapter() {
addWindowListener(new WindowAdapter() {
@Override
public void windowClosing(final WindowEvent event) {
int result = JOptionPane.showConfirmDialog(
EvAClient.this,
"Do you really want to exit EvA2?",
"Exit Application",
JOptionPane.YES_NO_OPTION);
if (result == JOptionPane.YES_OPTION) {
EvAClient.this.close();
}
}
});
}
@@ -542,13 +522,13 @@ public class EvAClient implements RemoteStateListener {
configurationPane.setVisible(true);
}
if (!(mainFrame.isVisible())) {
if (!(this.isVisible())) {
Dimension screenSize = Toolkit.getDefaultToolkit().getScreenSize();
mainFrame.setLocation((int) ((screenSize.width - mainFrame.getWidth()) / 2), (int) ((screenSize.height - mainFrame.getHeight()) / 2.5));
mainFrame.pack();
mainFrame.setSize(screenSize);
mainFrame.setVisible(true);
mainFrame.setVisible(true);
this.setLocation((int) ((screenSize.width - this.getWidth()) / 2), (int) ((screenSize.height - this.getHeight()) / 2.5));
this.pack();
this.setSize(screenSize);
this.setVisible(true);
this.setVisible(true);
}
// if this message is omitted, the stupid scroll pane runs to
@@ -819,7 +799,7 @@ public class EvAClient implements RemoteStateListener {
@Override
public void actionPerformed(final ActionEvent event) {
// ToDo
String helpHS = "resources/EvA2Help/EvA2Help.hs";
String helpHS = "EvA2Help/EvA2Help.hs";
ClassLoader cl = EvAClient.class.getClassLoader();
JHelpContentViewer helpPane;
try {
@@ -846,7 +826,7 @@ public class EvAClient implements RemoteStateListener {
*/
private void buildMenu() {
menuBar = new JMenuBar();
mainFrame.setJMenuBar(menuBar);
setJMenuBar(menuBar);
menuModule = new JExtMenu("&Module");
menuModule.add(actModuleLoad);
@@ -907,7 +887,7 @@ public class EvAClient implements RemoteStateListener {
if (selectedModule == null) { // show a dialog and ask for a module
String[] moduleNameList = comAdapter.getModuleNameList();
if (moduleNameList == null) {
JOptionPane.showMessageDialog(mainFrame, "No modules available on " + comAdapter.getHostName(), EvAInfo.infoTitle, 1);
JOptionPane.showMessageDialog(this, "No modules available on " + comAdapter.getHostName(), EvAInfo.infoTitle, 1);
} else {
String lastModule = null;
@@ -923,7 +903,7 @@ public class EvAClient implements RemoteStateListener {
LOGGER.log(Level.INFO, "Defaulting to module: {0}", lastModule);
}
selectedModule = (String) JOptionPane.showInputDialog(mainFrame,
selectedModule = (String) JOptionPane.showInputDialog(this,
"Which module do you want \n to load on host: " + comAdapter.getHostName() + " ?",
"Load optimization module on host",
JOptionPane.QUESTION_MESSAGE,
@@ -1058,7 +1038,7 @@ public class EvAClient implements RemoteStateListener {
gbConstraints.gridwidth = 2;
gbConstraints.fill = GridBagConstraints.HORIZONTAL;
gbConstraints.anchor = GridBagConstraints.PAGE_START;
mainFrame.add(frameMaker.getToolBar(), gbConstraints);
add(frameMaker.getToolBar(), gbConstraints);
GridBagConstraints gbConstraints2 = new GridBagConstraints();
gbConstraints2.gridx = 0;
@@ -1119,7 +1099,7 @@ public class EvAClient implements RemoteStateListener {
if (hostNames == null || hostNames.length == 0) {
showNoHostFoundDialog();
} else {
String hostName = (String) JOptionPane.showInputDialog(mainFrame,
String hostName = (String) JOptionPane.showInputDialog(this,
"Which active host do you want to connect to?", "Host", JOptionPane.QUESTION_MESSAGE, null,
hostNames, comAdapter.getHostName());
if (hostName != null) {
@@ -1138,12 +1118,12 @@ public class EvAClient implements RemoteStateListener {
}
private void showPleaseWaitDialog() {
JOptionPane.showMessageDialog(configurationPane, "Please wait one moment.", EvAInfo.infoTitle, 1);
JOptionPane.showMessageDialog(this, "Please wait one moment.", EvAInfo.infoTitle, 1);
}
private void showAboutDialog() {
AboutDialog aboutDialog = new AboutDialog(mainFrame);
aboutDialog.setLocationRelativeTo(mainFrame);
AboutDialog aboutDialog = new AboutDialog(this);
aboutDialog.setLocationRelativeTo(this);
aboutDialog.setVisible(true);
aboutDialog.setModalityType(Dialog.ModalityType.APPLICATION_MODAL);
}
@@ -1156,7 +1136,7 @@ public class EvAClient implements RemoteStateListener {
}
private void showNoHostFoundDialog() {
JOptionPane.showMessageDialog(mainFrame, "No host with running EVASERVER found. Please start one or \nadd the correct address to the properties list.", EvAInfo.infoTitle, 1);
JOptionPane.showMessageDialog(this, "No host with running EVASERVER found. Please start one or \nadd the correct address to the properties list.", EvAInfo.infoTitle, 1);
}
private void selectAvailableHostToKill(String[] HostNames) {
@@ -1164,7 +1144,7 @@ public class EvAClient implements RemoteStateListener {
showNoHostFoundDialog();
return;
}
String HostName = (String) JOptionPane.showInputDialog(mainFrame,
String HostName = (String) JOptionPane.showInputDialog(this,
"Which server do you want to be killed ?", "Host", JOptionPane.QUESTION_MESSAGE, null,
HostNames, comAdapter.getHostName());
if (HostName == null) {

8
src/eva2/gui/EvAModuleButtonPanelMaker.java
View File

@@ -71,7 +71,7 @@ public class EvAModuleButtonPanelMaker implements RemoteStateListener, Serializa
}
//////////////////////////////////////////////////////////////
runButton = ToolBoxGui.createIconifiedButton("resources/images/Play24.gif", "Start", true);
runButton = ToolBoxGui.createIconifiedButton("images/Play24.gif", "Start", true);
runButton.setToolTipText("Start the current optimization run.");
runButton.addActionListener(new ActionListener() {
@@ -87,7 +87,7 @@ public class EvAModuleButtonPanelMaker implements RemoteStateListener, Serializa
toolBar.add(runButton);
stopButton = ToolBoxGui.createIconifiedButton("resources/images/Stop24.gif", "Stop", true);
stopButton = ToolBoxGui.createIconifiedButton("images/Stop24.gif", "Stop", true);
stopButton.setToolTipText("Stop the current optimization run.");
//stopButton.setBorderPainted(false);
stopButton.addActionListener(new ActionListener() {
@@ -106,7 +106,7 @@ public class EvAModuleButtonPanelMaker implements RemoteStateListener, Serializa
stopButton.setEnabled(runningState);
toolBar.add(stopButton);
postProcessButton = ToolBoxGui.createIconifiedButton("resources/images/History24.gif", "Post Process", true);
postProcessButton = ToolBoxGui.createIconifiedButton("images/History24.gif", "Post Process", true);
postProcessButton.setToolTipText("Start post processing according to available parameters.");
//postProcessButton.setBorderPainted(false);
postProcessButton.addActionListener(new ActionListener() {
@@ -125,7 +125,7 @@ public class EvAModuleButtonPanelMaker implements RemoteStateListener, Serializa
postProcessButton.setEnabled(runningState && moduleAdapter.hasPostProcessing());
toolBar.add(postProcessButton);
scheduleButton = ToolBoxGui.createIconifiedButton("resources/images/Server24.gif", "Schedule", true);
scheduleButton = ToolBoxGui.createIconifiedButton("images/Server24.gif", "Schedule", true);
scheduleButton.setToolTipText("Schedule the currently configured optimization as a job.");
//scheduleButton.setBorderPainted(false);
scheduleButton.addActionListener(new ActionListener() {

4
src/eva2/gui/GOEPanel.java
View File

@@ -104,7 +104,7 @@ public class GOEPanel extends JPanel implements ItemListener {
propChangeSupport.firePropertyChange("", backupObject, genericObjectEditor.getValue());
}
});
openButton = makeIconButton("resources/images/Open16.gif", "Open");
openButton = makeIconButton("images/Open16.gif", "Open");
openButton.setToolTipText("Load a configured object");
openButton.setEnabled(true);
openButton.addActionListener(new ActionListener() {
@@ -123,7 +123,7 @@ public class GOEPanel extends JPanel implements ItemListener {
}
});
saveButton = makeIconButton("resources/images/Save16.gif", "Save");
saveButton = makeIconButton("images/Save16.gif", "Save");
saveButton.setToolTipText("Save the current configured object");
saveButton.setEnabled(true);
saveButton.addActionListener(new ActionListener() {

2
src/eva2/gui/GenericOptimizationObjectivesEditor.java
View File

@@ -174,7 +174,7 @@ public class GenericOptimizationObjectivesEditor extends JPanel implements Prope
gbc.fill = GridBagConstraints.REMAINDER;
gbc.gridx = 1;
gbc.weightx = 1;
bytes = loader.getBytesFromResourceLocation("resources/images/Sub24.gif", true);
bytes = loader.getBytesFromResourceLocation("images/Sub24.gif", true);
this.m_Delete[i] = new JButton("", new ImageIcon(Toolkit.getDefaultToolkit().createImage(bytes)));
this.m_Delete[i].addActionListener(deleteTarget);
this.m_TargetList.add(this.m_Delete[i], gbc);

2
src/eva2/gui/GenericOptimizationObjectivesWithParamEditor.java
View File

@@ -198,7 +198,7 @@ public class GenericOptimizationObjectivesWithParamEditor extends JPanel impleme
gbc.fill = GridBagConstraints.REMAINDER;
gbc.gridx = 2;
gbc.weightx = 1;
bytes = loader.getBytesFromResourceLocation("resources/images/Sub24.gif", true);
bytes = loader.getBytesFromResourceLocation("images/Sub24.gif", true);
this.m_Delete[i] = new JButton("", new ImageIcon(Toolkit.getDefaultToolkit().createImage(bytes)));
this.m_Delete[i].addActionListener(deleteTarget);
this.m_TargetList.add(this.m_Delete[i], gbc);

14
src/eva2/gui/GenericRemoteServersEditor.java
View File

@@ -71,27 +71,27 @@ public class GenericRemoteServersEditor extends JPanel implements PropertyEditor
this.m_ParameterPanel.add(this.m_Password, gbc);
JButton tmpB;
tmpB = makeButtonWith("resources/images/Add24.gif", "add");
tmpB = makeButtonWith("images/Add24.gif", "add");
tmpB.addActionListener(addServer);
setGBC(gbc, GridBagConstraints.WEST, GridBagConstraints.HORIZONTAL, 1, 0, 1, 1);
this.m_ParameterPanel.add(tmpB, gbc);
tmpB = makeButtonWith("resources/images/Export24.gif", "Load");
tmpB = makeButtonWith("images/Export24.gif", "Load");
tmpB.addActionListener(loadServers);
setGBC(gbc, GridBagConstraints.WEST, GridBagConstraints.HORIZONTAL, 1, 1, 1, 1);
this.m_ParameterPanel.add(tmpB, gbc);
tmpB = makeButtonWith("resources/images/Import24.gif", "Save");
tmpB = makeButtonWith("images/Import24.gif", "Save");
tmpB.addActionListener(saveServers);
setGBC(gbc, GridBagConstraints.WEST, GridBagConstraints.HORIZONTAL, 1, 2, 1, 1);
this.m_ParameterPanel.add(tmpB, gbc);
tmpB = makeButtonWith("resources/images/Refresh24.gif", "Update Status");
tmpB = makeButtonWith("images/Refresh24.gif", "Update Status");
tmpB.addActionListener(updateServers);
setGBC(gbc, GridBagConstraints.WEST, GridBagConstraints.HORIZONTAL, 1, 3, 1, 1);
this.m_ParameterPanel.add(tmpB, gbc);
tmpB = makeButtonWith("resources/images/Play24.gif", "Start Server");
tmpB = makeButtonWith("images/Play24.gif", "Start Server");
tmpB.addActionListener(startServers);
setGBC(gbc, GridBagConstraints.WEST, GridBagConstraints.HORIZONTAL, 1, 4, 1, 1);
this.m_ParameterPanel.add(tmpB, gbc);
tmpB = makeButtonWith("resources/images/Stop24.gif", "Stop Server");
tmpB = makeButtonWith("images/Stop24.gif", "Stop Server");
tmpB.addActionListener(killServers);
setGBC(gbc, GridBagConstraints.WEST, GridBagConstraints.HORIZONTAL, 1, 5, 1, 1);
this.m_ParameterPanel.add(tmpB, gbc);
@@ -168,7 +168,7 @@ public class GenericRemoteServersEditor extends JPanel implements PropertyEditor
this.m_ServerList.add(this.m_CPUs[i], gbc);
// The delete button
setGBC(gbc, GridBagConstraints.WEST, GridBagConstraints.REMAINDER, 3, 10);
bytes = BasicResourceLoader.instance().getBytesFromResourceLocation("resources/images/Sub24.gif", true);
bytes = BasicResourceLoader.instance().getBytesFromResourceLocation("images/Sub24.gif", true);
this.m_Delete[i] = new JButton("", new ImageIcon(Toolkit.getDefaultToolkit().createImage(bytes)));
this.m_Delete[i].addActionListener(deleteServer);
this.m_ServerList.add(this.m_Delete[i], gbc);

8
src/eva2/gui/HtmlDemo.java
View File

@@ -52,12 +52,12 @@ public class HtmlDemo {
}
public boolean resourceExists() {
URL url = ClassLoader.getSystemResource("resources/"+m_name);
URL url = ClassLoader.getSystemResource("html/"+m_name);
return (url != null);
}
public static boolean resourceExists(String mname) {
URL url = ClassLoader.getSystemResource("resources/"+mname);
URL url = ClassLoader.getSystemResource("html/"+mname);
return (url != null);
}
/**
@@ -66,12 +66,12 @@ public class HtmlDemo {
public void show() {
try {
URL url = null;
url = this.getClass().getClassLoader().getSystemResource("resources/"+m_name);
url = this.getClass().getClassLoader().getSystemResource("html/"+m_name);
try {
m_html = new JEditorPane(url);
} catch (java.io.IOException ioe) {
url = this.getClass().getClassLoader().getSystemResource("resources/Default.html");
url = this.getClass().getClassLoader().getSystemResource("html/Default.html");
m_html = new JEditorPane(url);
}
//m_html = new JEditorPane(htmlDescription);

6
src/eva2/gui/JExtDesktopPaneToolBar.java
View File

@@ -27,7 +27,7 @@ public class JExtDesktopPaneToolBar extends JToolBar {
setFloatable(false);
/* Add Buttons to tile the desktopPane */
JButton verticalButton = ToolBoxGui.createIconifiedButton("resources/images/TileVertical16.png", "Tile vertically", false);
JButton verticalButton = ToolBoxGui.createIconifiedButton("images/TileVertical16.png", "Tile vertically", false);
verticalButton.addActionListener(new ActionListener() {
@Override
@@ -38,7 +38,7 @@ public class JExtDesktopPaneToolBar extends JToolBar {
});
add(verticalButton);
JButton horizontalButton = ToolBoxGui.createIconifiedButton("resources/images/TileHorizontal16.png", "Tile horizontally", false);
JButton horizontalButton = ToolBoxGui.createIconifiedButton("images/TileHorizontal16.png", "Tile horizontally", false);
horizontalButton.addActionListener(new ActionListener() {
@Override
@@ -49,7 +49,7 @@ public class JExtDesktopPaneToolBar extends JToolBar {
});
add(horizontalButton);
JButton cascadeButton = ToolBoxGui.createIconifiedButton("resources/images/Cascade16.png", "Cascade windows", false);
JButton cascadeButton = ToolBoxGui.createIconifiedButton("images/Cascade16.png", "Cascade windows", false);
cascadeButton.addActionListener(new ActionListener() {
@Override

10
src/eva2/server/go/mocco/MOCCOChooseMOStrategy.java
View File

@@ -55,7 +55,7 @@ public class MOCCOChooseMOStrategy extends MOCCOPhase implements InterfaceProces
gbc.fill = GridBagConstraints.BOTH;
gbc.weightx = 100;
tmpB = new JButton();
bytes = loader.getBytesFromResourceLocation("resources/MOCCO/MOCCO_MOEA.gif", true);
bytes = loader.getBytesFromResourceLocation("images/MOCCO/MOCCO_MOEA.gif", true);
tmpB.setIcon(new ImageIcon(Toolkit.getDefaultToolkit().createImage(bytes)));
tmpB.setBackground(Color.WHITE);
gbc.gridy = 0;
@@ -73,7 +73,7 @@ public class MOCCOChooseMOStrategy extends MOCCOPhase implements InterfaceProces
" objectives."), gbc);
tmpB = new JButton();
bytes = loader.getBytesFromResourceLocation("resources/MOCCO/MOCCO_GDF.gif", true);
bytes = loader.getBytesFromResourceLocation("images/MOCCO/MOCCO_GDF.gif", true);
tmpB.setIcon(new ImageIcon(Toolkit.getDefaultToolkit().createImage(bytes)));
tmpB.setBackground(Color.WHITE);
gbc.gridy = 1;
@@ -89,7 +89,7 @@ public class MOCCOChooseMOStrategy extends MOCCOPhase implements InterfaceProces
this.m_Mocco.m_JPanelParameters.add(tmpP, BorderLayout.CENTER);
tmpB = new JButton();
bytes = loader.getBytesFromResourceLocation("resources/MOCCO/MOCCO_STEP.gif", true);
bytes = loader.getBytesFromResourceLocation("images/MOCCO/MOCCO_STEP.gif", true);
tmpB.setIcon(new ImageIcon(Toolkit.getDefaultToolkit().createImage(bytes)));
tmpB.setBackground(Color.WHITE);
gbc.gridy = 2;
@@ -106,7 +106,7 @@ public class MOCCOChooseMOStrategy extends MOCCOPhase implements InterfaceProces
" into a single objectives. The individual weights are also to be given by the DM."), gbc);
tmpB = new JButton();
bytes = loader.getBytesFromResourceLocation("resources/MOCCO/MOCCO_REFP.gif", true);
bytes = loader.getBytesFromResourceLocation("images/MOCCO/MOCCO_REFP.gif", true);
tmpB.setIcon(new ImageIcon(Toolkit.getDefaultToolkit().createImage(bytes)));
tmpB.setBackground(Color.WHITE);
gbc.gridy = 3;
@@ -123,7 +123,7 @@ public class MOCCOChooseMOStrategy extends MOCCOPhase implements InterfaceProces
" same time."), gbc);
tmpB = new JButton();
bytes = loader.getBytesFromResourceLocation("resources/MOCCO/MOCCO_TBCH.gif", true);
bytes = loader.getBytesFromResourceLocation("images/MOCCO/MOCCO_TBCH.gif", true);
tmpB.setIcon(new ImageIcon(Toolkit.getDefaultToolkit().createImage(bytes)));
tmpB.setBackground(Color.WHITE);
gbc.gridy = 4;

2
src/eva2/server/go/operators/crossover/PropertyCrossoverMixerEditor.java
View File

@@ -201,7 +201,7 @@ public class PropertyCrossoverMixerEditor extends JPanel implements PropertyEdit
gbc.fill = GridBagConstraints.REMAINDER;
gbc.gridx = 2;
gbc.weightx = 1;
bytes = loader.getBytesFromResourceLocation("resources/images/Sub24.gif", true);
bytes = loader.getBytesFromResourceLocation("images/Sub24.gif", true);
this.m_Delete[i] = new JButton("", new ImageIcon(Toolkit.getDefaultToolkit().createImage(bytes)));
this.m_Delete[i].addActionListener(deleteTarget);
this.m_TargetList.add(this.m_Delete[i], gbc);

2
src/eva2/server/go/operators/mutation/PropertyMutationMixerEditor.java
View File

@@ -176,7 +176,7 @@ public class PropertyMutationMixerEditor extends JPanel implements PropertyEdito
gbc.fill = GridBagConstraints.REMAINDER;
gbc.gridx = 2;
gbc.weightx = 1;
bytes = loader.getBytesFromResourceLocation("resources/images/Sub24.gif", true);
bytes = loader.getBytesFromResourceLocation("images/Sub24.gif", true);
this.m_Delete[i] = new JButton("", new ImageIcon(Toolkit.getDefaultToolkit().createImage(bytes)));
this.m_Delete[i].addActionListener(deleteTarget);
this.m_TargetList.add(this.m_Delete[i], gbc);

2
src/eva2/server/go/operators/paretofrontmetrics/MetricD1ApproxParetoFront.java
View File

@@ -20,7 +20,7 @@ import eva2.server.go.tools.FileTools;
* To change this template use File | Settings | File Templates.
*/
public class MetricD1ApproxParetoFront implements eva2.server.go.operators.paretofrontmetrics.InterfaceParetoFrontMetric, java.io.Serializable {
private PropertyFilePath m_InputFilePath = PropertyFilePath.getFilePathFromResource("resources/MOPReference/T1_250.txt");
private PropertyFilePath m_InputFilePath = PropertyFilePath.getFilePathFromResource("MOPReference/T1_250.txt");
private String[] m_Titles;
private double[][] m_Reference;

2
src/eva2/server/go/operators/paretofrontmetrics/MetricD1TrueParetoFront.java
View File

@@ -23,7 +23,7 @@ public class MetricD1TrueParetoFront implements eva2.server.go.operators.paretof
// private String base = System.getProperty("user.dir");
// private String FS = System.getProperty("file.separator");
private PropertyFilePath m_InputFilePath = PropertyFilePath.getFilePathFromResource("resources/MOPReference/T1_250.txt");
private PropertyFilePath m_InputFilePath = PropertyFilePath.getFilePathFromResource("MOPReference/T1_250.txt");
private String[] m_Titles;
private double[][] m_Reference;

2
src/eva2/server/go/operators/paretofrontmetrics/MetricErrorRatio.java
View File

@@ -20,7 +20,7 @@ import java.util.ArrayList;
* To change this template use File | Settings | File Templates.
*/
public class MetricErrorRatio implements eva2.server.go.operators.paretofrontmetrics.InterfaceParetoFrontMetric, java.io.Serializable {
private PropertyFilePath m_InputFilePath = PropertyFilePath.getFilePathFromResource("resources/MOPReference/T1_250.txt");
private PropertyFilePath m_InputFilePath = PropertyFilePath.getFilePathFromResource("MOPReference/T1_250.txt");
private double m_Epsilon = 0.0001;
private String[] m_Titles;
private double[][] m_Reference;

2
src/eva2/server/go/operators/paretofrontmetrics/MetricMaximumParetoFrontError.java
View File

@@ -19,7 +19,7 @@ import eva2.server.go.tools.FileTools;
* To change this template use File | Settings | File Templates.
*/
public class MetricMaximumParetoFrontError implements eva2.server.go.operators.paretofrontmetrics.InterfaceParetoFrontMetric, java.io.Serializable {
private PropertyFilePath m_InputFilePath = PropertyFilePath.getFilePathFromResource("resources/MOPReference/T1_250.txt");
private PropertyFilePath m_InputFilePath = PropertyFilePath.getFilePathFromResource("MOPReference/T1_250.txt");
private String[] m_Titles;
private double[][] m_Reference;

2
src/eva2/server/go/operators/paretofrontmetrics/MetricSWithReference.java
View File

@@ -21,7 +21,7 @@ import eva2.server.go.tools.FileTools;
*/
public class MetricSWithReference implements InterfaceParetoFrontMetric, java.io.Serializable {
private double[][] m_ObjectiveSpaceRange;
private PropertyFilePath m_InputFilePath = PropertyFilePath.getFilePathFromResource("resources/MOPReference/T1_250.txt");
private PropertyFilePath m_InputFilePath = PropertyFilePath.getFilePathFromResource("MOPReference/T1_250.txt");
private String[] m_Titles;
private double[][] m_Reference;
private double m_ReferenceSMetric = -1;

2
src/eva2/server/go/problems/TF1Problem.java
View File

@@ -197,7 +197,7 @@ public class TF1Problem extends AbstractMultiObjectiveOptimizationProblem implem
int points = 500;
String base = System.getProperty("user.dir");
String FS = System.getProperty("file.separator");
PropertyFilePath fileOutPath = PropertyFilePath.getFilePathFromResource("resources/MOPReference"+FS+"T1_"+points+".txt");
PropertyFilePath fileOutPath = PropertyFilePath.getFilePathFromResource("MOPReference"+FS+"T1_"+points+".txt");
BufferedWriter writer = null;
try {
writer = new BufferedWriter(new FileWriter(fileOutPath.getCompleteFilePath()));

2
src/eva2/tools/BasicResourceLoader.java
View File

@@ -649,7 +649,7 @@ public class BasicResourceLoader implements ResourceLoader
if (slInd != -1) planBResName = resourceName.substring(slInd + 1);
else planBResName = resourceName;
Properties userProps = new Properties();
File propFile = new File(File.separatorChar + "resources" + File.separatorChar + planBResName);
File propFile = new File(File.separatorChar + planBResName);
if (propFile.exists()) {
try {
userProps.load(new FileInputStream(propFile));

2
src/eva2/tools/ReflectPackage.java
View File

@@ -409,7 +409,7 @@ public class ReflectPackage {
System.out.println("1: " + cld.getResource("/eva2/server"));
System.out.println("2: " + cld.getResource("eva2/server"));
// BasicResourceLoader rld = BasicResourceLoader.instance();
// byte[] b = rld.getBytesFromResourceLocation("resources/images/Sub24.gif");
// byte[] b = rld.getBytesFromResourceLocation("images/Sub24.gif");
// System.out.println((b == null) ? "null" : b.toString());
// b = rld.getBytesFromResourceLocation("src/eva2/client/EvAClient.java");
// System.out.println((b == null) ? "null" : b.toString());