Minor cosmetics
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ddbebe2c48
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@ -124,7 +124,7 @@ public class B1Problem extends AbstractProblemBinary implements java.io.Serializ
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public InterfaceDataTypeBinary getEAIndividual() {
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public InterfaceDataTypeBinary getEAIndividual() {
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return (InterfaceDataTypeBinary) this.m_Template;
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return (InterfaceDataTypeBinary) this.m_Template;
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}
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}
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public String eAIndividualTipText() {
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public String EAIndividualTipText() {
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return "Choose the EAIndividual to use.";
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return "Choose the EAIndividual to use.";
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}
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}
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}
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}
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@ -359,8 +359,8 @@ public class BKnapsackProblem extends AbstractProblemBinary implements java.io.S
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public InterfaceDataTypeBinary getEAIndividual() {
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public InterfaceDataTypeBinary getEAIndividual() {
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return (InterfaceDataTypeBinary) this.m_Template;
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return (InterfaceDataTypeBinary) this.m_Template;
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}
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}
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public String eAIndividualTipText() {
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public String EAIndividualTipText() {
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return "Choose the EAIndividual to use.";
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return "Choose the EA-individual to use.";
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}
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}
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/** This method allows you to toggle the problemspecific
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/** This method allows you to toggle the problemspecific
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* initialization method, gives the chance of problem
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* initialization method, gives the chance of problem
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@ -388,7 +388,7 @@ public class BKnapsackProblem extends AbstractProblemBinary implements java.io.S
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return this.m_LocalSearch;
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return this.m_LocalSearch;
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}
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}
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public String localSearchTipText() {
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public String localSearchTipText() {
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return "Gives the chance of local search.";
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return "Gives the chance of local search";
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}
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}
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/** This method allows you to toggle the use of Lamarckism.
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/** This method allows you to toggle the use of Lamarckism.
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* @param b toggles lamarckism.
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* @param b toggles lamarckism.
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@ -400,6 +400,16 @@ public class BKnapsackProblem extends AbstractProblemBinary implements java.io.S
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return this.m_Lamarckism;
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return this.m_Lamarckism;
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}
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}
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public String lamarckismTipText() {
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public String lamarckismTipText() {
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return "Lamarckism alters the genotype after the local search.";
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return "Lamarckism alters the genotype after the local search";
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}
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}
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public int getWeightLimit() {
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return m_Limit;
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}
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public void setWeightLimit(int mLimit) {
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m_Limit = mLimit;
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}
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public String weightLimitTipText() {
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return "Weight limit for the knapsack problem";
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}
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}
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}
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@ -26,7 +26,7 @@ import eva2.tools.jproxy.RMIServer;
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* evaluation and on the other hand the GUI based distribution scheme is rather prone
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* evaluation and on the other hand the GUI based distribution scheme is rather prone
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* to config errors (the correct ssh version is required, the jar needs to be in
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* to config errors (the correct ssh version is required, the jar needs to be in
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* the working dir and possible problem data must be on the servers to) an implicit
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* the working dir and possible problem data must be on the servers to) an implicit
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* island-model has been implemented too to allow fast and reliabel computation.
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* island-model has been implemented too to allow fast and reliable computation.
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* This is still usefull, since it is less prone to premature convergence and also
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* This is still usefull, since it is less prone to premature convergence and also
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* an heterogenuous island model can be used.
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* an heterogenuous island model can be used.
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*
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*
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