Major commit, see changelog in JOpt-Notes.txt
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<html>
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<head>
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<title>Convergence Terminator</title>
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</head>
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<body>
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<h1 align="center">Convergence Terminator</h1>
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<center>
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</center><br>
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The convergence terminator stops the optimization, when there has been hardly
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any change in the best population fitness (within percentual range) for a certain
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time, given in generations or fitness calls.
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</body>
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</html>
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16
resources/FitnessConvergenceTerminator.html
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16
resources/FitnessConvergenceTerminator.html
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<html>
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<head>
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<title>Fitness Convergence Terminator</title>
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</head>
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<body>
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<h1 align="center">Fitness Convergence Terminator</h1>
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<center>
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</center><br>
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The fitness convergence terminator stops the optimization, when there has been hardly
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any change in the best population fitness (within percentual or absolute distance) for a certain
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time, given in generations or fitness calls.<br>
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Be aware that, if the optimization is allowed to be non-monotonic, such as for (,)-ES strategies,
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and if the optimum is close to zero, it may happen that the fitness fluctuates due to numeric
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issues and does not easily converge in a relative measure.
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</body>
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</html>
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15
resources/PhenotypeConvergenceTerminator.html
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resources/PhenotypeConvergenceTerminator.html
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<html>
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<head>
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<title>Phenotype Convergence Terminator</title>
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</head>
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<body>
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<h1 align="center">Phenotype Convergence Terminator</h1>
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<center>
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</center><br>
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The phenotype convergence terminator stops the optimization, when there has been hardly
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any change in the best population individual (within percentual or absolute distance) for a certain
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time span, given in generations or fitness calls.<br>
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Be aware that, if the optimum individual is close to zero, it may happen that its phenotype values
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fluctuate due to numeric issues and do not easily converge in a relative measure.
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</body>
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</html>
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