diff --git a/resources/EPSILON_SVM.html b/resources/EPSILON_SVM.html deleted file mode 100644 index e80ece2b..00000000 --- a/resources/EPSILON_SVM.html +++ /dev/null @@ -1,13 +0,0 @@ - - -Epsilon SV-Regression - - -  -

Epsilon SV-Regression

-
-

-Please read the JavaEvA manual for a detailed description. - - - \ No newline at end of file diff --git a/resources/ESIndividual.html b/resources/ESIndividual.html deleted file mode 100644 index 867a80aa..00000000 --- a/resources/ESIndividual.html +++ /dev/null @@ -1,16 +0,0 @@ - - -ESIndividual - - -  -

ESIndividual

-
-

-This element represents the properties of an individual. -The most important evolutionary operator of an ES is -the mutation of the objective variables representing -the solution of the problem, which is responsible -for the self-adaptation capability of the ES - - \ No newline at end of file diff --git a/resources/ESInitPopulationDOptimal.html b/resources/ESInitPopulationDOptimal.html deleted file mode 100644 index a0b09bb7..00000000 --- a/resources/ESInitPopulationDOptimal.html +++ /dev/null @@ -1,17 +0,0 @@ - - -f_1 : Sphere function - - -

ESInitPopulationSpaceFilling

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-

-ESPara contains the information describing the Evolution Strategy: - - - \ No newline at end of file diff --git a/resources/ESInitPopulationRandom.html b/resources/ESInitPopulationRandom.html deleted file mode 100644 index 4cccdc84..00000000 --- a/resources/ESInitPopulationRandom.html +++ /dev/null @@ -1,10 +0,0 @@ - - -ESInitPopulationRandom - - -  -

ESInitPopulationRandom

-
-

-Here you can specify the number of individuals, which are randomly initialized. \ No newline at end of file diff --git a/resources/ESInitPopulationSpaceFilling.html b/resources/ESInitPopulationSpaceFilling.html deleted file mode 100644 index 3fda59a2..00000000 --- a/resources/ESInitPopulationSpaceFilling.html +++ /dev/null @@ -1,18 +0,0 @@ - - -f_1 : Sphere function - - -  -

ESInitPopulationSpaceFilling

-
-

-ESPara contains the information describing the Evolution Strategy: - - - \ No newline at end of file diff --git a/resources/ESPara.html b/resources/ESPara.html deleted file mode 100644 index ad6427c3..00000000 --- a/resources/ESPara.html +++ /dev/null @@ -1,17 +0,0 @@ - - -f_1 : Sphere function - -  -

Parameters for the Evolution Strategy

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-

-The Java Class ESPara contains the information describing an Evolution Strategy (ES): - - - \ No newline at end of file diff --git a/resources/ESPopulation.html b/resources/ESPopulation.html deleted file mode 100644 index 1b8b65ee..00000000 --- a/resources/ESPopulation.html +++ /dev/null @@ -1,18 +0,0 @@ - - -ESPopulation - -  -

ESPopulation

-
-

-ESPopulation contains the information describing an Evolution Strategy (ES): - - - \ No newline at end of file diff --git a/resources/ESRecombination.html b/resources/ESRecombination.html deleted file mode 100644 index 0f764bf9..00000000 --- a/resources/ESRecombination.html +++ /dev/null @@ -1,18 +0,0 @@ - - -ESRecombination - - -  -

ESRecombination

-
-

-The recombination operator has the following editable properties: - - - \ No newline at end of file diff --git a/resources/ESSelectionStrategyComma.html b/resources/ESSelectionStrategyComma.html deleted file mode 100644 index 50da1887..00000000 --- a/resources/ESSelectionStrategyComma.html +++ /dev/null @@ -1,12 +0,0 @@ - - -ES Comma Selection - - -  -

ES Comma Selection Operator

-
-

-The best mu individuals are selected from lambda offspring individuals. - - \ No newline at end of file diff --git a/resources/ESSelectionStrategyMedian.html b/resources/ESSelectionStrategyMedian.html deleted file mode 100644 index bb41fb2d..00000000 --- a/resources/ESSelectionStrategyMedian.html +++ /dev/null @@ -1,26 +0,0 @@ - - -ES - Median Selection - - -  -

ES Median Selection Strategy

-
-

-The main application field of the Median Selection Strategy -operator are steady state algorithms. -A standard steady-state ES is equivalent to a (mu + 1) ES. -Only one individual is generated and evaluated -at each step and gets immediately integrated into the population. -Compared to generation based algorithms the information of -new evaluated individuals can be integrated directly into the optimization process. -The idea is to approximate the selection mechanism -of a standard (mu,lambda) ES, by -using a fitness buffer containing -fitness values of the last n evaluations. -Given a relative rate of acceptance r=mu\lambda. -A newly evaluated individual substitutes the worst individual -of the population, if it has a better fitness than the r*n best individuals -in the buffer. - - \ No newline at end of file diff --git a/resources/ESSelectionStrategyMixed.html b/resources/ESSelectionStrategyMixed.html deleted file mode 100644 index 5fb72426..00000000 --- a/resources/ESSelectionStrategyMixed.html +++ /dev/null @@ -1,18 +0,0 @@ - - -f_1 : Sphere function - - -  -

ESSelectionStrategyMedian

-
-

-ESPara contains the information describing the Evolution Strategy: - - - \ No newline at end of file diff --git a/resources/ESSelectionStrategyPlus.html b/resources/ESSelectionStrategyPlus.html deleted file mode 100644 index 88f18849..00000000 --- a/resources/ESSelectionStrategyPlus.html +++ /dev/null @@ -1,13 +0,0 @@ - - -Plus Selection Strategy - - -  -

ES Plus Selection Operator

-
-

-The best mu individuals are selected from the -aggregation of the lambda offspring individuals and the mu parents. - - \ No newline at end of file diff --git a/resources/GaussProcess.html b/resources/GaussProcess.html deleted file mode 100644 index 346b618e..00000000 --- a/resources/GaussProcess.html +++ /dev/null @@ -1,12 +0,0 @@ - - -Gauss Process Regression Model - - -

Gauss Process Regression Model

-
-

-Please read the JavaEvA manual for a detailed description. - - - \ No newline at end of file diff --git a/resources/MAES.html b/resources/MAES.html deleted file mode 100644 index 69d5849a..00000000 --- a/resources/MAES.html +++ /dev/null @@ -1,28 +0,0 @@ - - -Model Assisted Evolution Strategy - MAES - - -  -

Model Assisted Evolution Strategy - MAES

-
-

-In the pre-selection concept lambdaPlus>lambda -individuals are generated from mu parents. -All lambdaPlus individuals are evaluated by a -surrogate model of the fitness landscape and the estimated -fitness values are used to pre-select the lambda -best individuals, which will be evaluated with -the real fitness function. -The model is trained at the beginning with a randomly created -initial population and is updated after each generation -step with lambda new fitness cases. -The idea behind this approach is that only the -most promising individuals with a good fitness prediction -are evaluated with the true fitness function. - -Every generation a new offspring lambda is evaluated with the real fitness function, -the model is updated with this information of \lambda fitness cases. - - - \ No newline at end of file diff --git a/resources/MAESIndividual.html b/resources/MAESIndividual.html deleted file mode 100644 index c7c2a730..00000000 --- a/resources/MAESIndividual.html +++ /dev/null @@ -1,16 +0,0 @@ - - -MAESIndividual - - -  -

MAESIndividual

-
-

-This element represents the properties of an individual. -The most important evolutionary operator of an ES is -the mutation of the objective variables representing -the solution of the problem, which is responsible -for the self-adaptation capability of the ES - - \ No newline at end of file diff --git a/resources/MAESPara.html b/resources/MAESPara.html deleted file mode 100644 index 3856eb08..00000000 --- a/resources/MAESPara.html +++ /dev/null @@ -1,17 +0,0 @@ - - -MAESPara - -  -

MAESPara

-
-

-MAESPara contains the information describing an Evolution Strategy (ES): - - - \ No newline at end of file diff --git a/resources/MAESPopulation.html b/resources/MAESPopulation.html deleted file mode 100644 index 36328310..00000000 --- a/resources/MAESPopulation.html +++ /dev/null @@ -1,23 +0,0 @@ - - -MAESPopulation - -  -

Model Assisted Population

-
-

-The MAESPopulation panel contains the information describing the Model Assisted Evolution Strategy (MAES): - - - \ No newline at end of file diff --git a/resources/MAESRecombination.html b/resources/MAESRecombination.html deleted file mode 100644 index c5dcb583..00000000 --- a/resources/MAESRecombination.html +++ /dev/null @@ -1,18 +0,0 @@ - - -MAESRecombination - - -  -

MAESRecombination

-
-

-The recombination operator has the following editable properties: - - - \ No newline at end of file diff --git a/resources/MAESSelectionStrategyComma.html b/resources/MAESSelectionStrategyComma.html deleted file mode 100644 index 4c96d77e..00000000 --- a/resources/MAESSelectionStrategyComma.html +++ /dev/null @@ -1,12 +0,0 @@ - - -MAES Comma Selection - - -  -

MAES Comma Selection Operator

-
-

-The best mu individuals are selected from lambda offspring individuals. - - \ No newline at end of file diff --git a/resources/MAESSelectionStrategyMedian.html b/resources/MAESSelectionStrategyMedian.html deleted file mode 100644 index 8fa75fb6..00000000 --- a/resources/MAESSelectionStrategyMedian.html +++ /dev/null @@ -1,32 +0,0 @@ - - -MAES - Median Selection - - -  -

MAES Median Selection Strategy

-
-

-The main application field of the Median Selection Strategy -operator are steady state algorithms. -A standard steady-state ES is equivalent to a (mu + 1) ES. -Only one individual is generated and evaluated -at each step and gets immediately integrated into the population. -Compared to generation based algorithms the information of -new evaluated individuals can be integrated directly into the optimization process. -The idea is to approximate the selection mechanism -of a standard (mu,lambda) ES, by -using a fitness buffer containing -fitness values of the last n evaluations. -Given a relative rate of acceptance r=mu\lambda. -A newly evaluated individual substitutes the worst individual -of the population, if it has a better fitness than the r*n best individuals -in the buffer. - - - \ No newline at end of file diff --git a/resources/MAESSelectionStrategyPlus.html b/resources/MAESSelectionStrategyPlus.html deleted file mode 100644 index 8cc93b09..00000000 --- a/resources/MAESSelectionStrategyPlus.html +++ /dev/null @@ -1,13 +0,0 @@ - - -Plus Selection Strategy - - -  -

MAES Plus Selection Operator

-
-

-The best mu individuals are selected from the -aggredation of the lambda offspring individuals and the mu parents. - - \ No newline at end of file diff --git a/resources/MutationCMA.html b/resources/MutationCMA.html deleted file mode 100644 index 904189c3..00000000 --- a/resources/MutationCMA.html +++ /dev/null @@ -1,13 +0,0 @@ - - -CMA Mutation - - -  -

CMA Mutation

-
-

-Please read the JavaEvA manual for a detailed description. - - - \ No newline at end of file diff --git a/resources/MutationMSRGlobal.html b/resources/MutationMSRGlobal.html deleted file mode 100644 index 8c4d66b4..00000000 --- a/resources/MutationMSRGlobal.html +++ /dev/null @@ -1,13 +0,0 @@ - - -f_1 : Sphere function - - -  -

MutationMSRGlobal

-
-

-Please read the JavaEvA manual for a detailed description. - - - \ No newline at end of file diff --git a/resources/MutationMSRSeperate.html b/resources/MutationMSRSeperate.html deleted file mode 100644 index fbae40db..00000000 --- a/resources/MutationMSRSeperate.html +++ /dev/null @@ -1,15 +0,0 @@ - - -f_1 : Sphere function - - -  -

MutationMSRSeperate

-
-

-
-

-Please read the JavaEvA manual for a detailed description. - - - \ No newline at end of file diff --git a/resources/MutationMVA.html b/resources/MutationMVA.html deleted file mode 100644 index 25dd4445..00000000 --- a/resources/MutationMVA.html +++ /dev/null @@ -1,13 +0,0 @@ - - -MVA Mutation - - -  -

MVA Mutation

-
-

-Please read the JavaEvA manual for a detailed description. - - - \ No newline at end of file diff --git a/resources/MutationRandom.html b/resources/MutationRandom.html deleted file mode 100644 index ac4d0f79..00000000 --- a/resources/MutationRandom.html +++ /dev/null @@ -1,13 +0,0 @@ - - -Random Mutation - - -  -

Random Mutation

-
-

-Please read the JavaEvA manual for a detailed description. - - - \ No newline at end of file diff --git a/resources/MutationSuccessRule.html b/resources/MutationSuccessRule.html deleted file mode 100644 index 97a71182..00000000 --- a/resources/MutationSuccessRule.html +++ /dev/null @@ -1,13 +0,0 @@ - - -Success Rule Mutation - - -  -

Success Rule

-
-

-Please read the JavaEvA manual for a detailed description. - - - \ No newline at end of file diff --git a/resources/NU_SVM.html b/resources/NU_SVM.html deleted file mode 100644 index b3925b74..00000000 --- a/resources/NU_SVM.html +++ /dev/null @@ -1,13 +0,0 @@ - - -NU SV-Regression - - -  -

NU SV-Regression

-
-

-Please read the JavaEvA manual for a detailed description. - - - \ No newline at end of file diff --git a/resources/Poly.html b/resources/Poly.html deleted file mode 100644 index 4f0ae20d..00000000 --- a/resources/Poly.html +++ /dev/null @@ -1,13 +0,0 @@ - - -Poly model - - -  -

Poly model

-
-

-Please read the JavaEvA manual for a detailed description. - - - \ No newline at end of file diff --git a/resources/PolyRBFJama.html b/resources/PolyRBFJama.html deleted file mode 100644 index 46dddbeb..00000000 --- a/resources/PolyRBFJama.html +++ /dev/null @@ -1,18 +0,0 @@ - - -f_1 : Sphere function - - -  -

PolyRBFJama

-
-

-ESPara contains the information describing the Evolution Strategy: - - - \ No newline at end of file diff --git a/resources/RBF.html b/resources/RBF.html deleted file mode 100644 index 1cf144c1..00000000 --- a/resources/RBF.html +++ /dev/null @@ -1,13 +0,0 @@ - - -RBF model - - -  -

RBF model

-
-

-Please read the JavaEvA manual for a detailed description. - - - \ No newline at end of file diff --git a/resources/images/QueenB.gif b/resources/images/QueenB.gif deleted file mode 100644 index e23ce075..00000000 Binary files a/resources/images/QueenB.gif and /dev/null differ diff --git a/resources/images/QueenW.gif b/resources/images/QueenW.gif deleted file mode 100644 index 8491260c..00000000 Binary files a/resources/images/QueenW.gif and /dev/null differ diff --git a/resources/rvm.html b/resources/rvm.html deleted file mode 100644 index 5d2b98ea..00000000 --- a/resources/rvm.html +++ /dev/null @@ -1,13 +0,0 @@ - - -RVM model - - -  -

RVM model

-
-

-Please read the JavaEvA manual for a detailed description. - - - \ No newline at end of file