25 lines
1.4 KiB
HTML
25 lines
1.4 KiB
HTML
<html>
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<head>
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<title>EvA Genetic Optimization</title>
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</head>
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<body>
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<h1 align="center">Genetic Optimization Parameters</h1>
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<br>
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The GO parameter class is used to change main GO optimization settings. You may:
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<ul>
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<li>Choose the optimizer. Check the optimizer object for further parameters and information.</li>
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<li>Set post-processing parameters or leave it turned off.</li>
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<li>Select the problem to be optimized. Check the problem instance for further parameters and information. </li>
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<li>Set a random seed. For the same positive seed, an optimization run should yield the same results. Set the seed to zero to use a dynamic seed for each run (using system time).</li>
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<li>Define the termination criterion. Usually a maximum number of fitness evaluations is set, but
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it is also possible to choose a maximum number of generations, an absolute fitness value to be reached, a
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convergence criterion or a combination of those.</li>
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</ul>
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<b>Note:</b> <br>
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The evolutionary operators used by a strategy are tightly connected to the representation used.
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On the other hand, the representation is usually defined by the underlying problem, therefore,
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to change the operators effecting the individuals, select the problem and set them within the
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Individual class presented there. Also note, that not all optimizers can handle all types
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of representations.
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</body>
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</html> |