Last change
on this file since 12912 was
6152,
checked in by bfarka, 13 years ago
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added ecj and custom statistics to communicate with the okb services #1441
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File size:
1.3 KB
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1 | This package implements the (mu+lambda) and (mu,lambda) evolution strategies. |
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2 | Use this package in conjunction with the 'simple' package (that is, |
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3 | generational evolution). The provided es.params file shows some more |
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4 | information on how to do this. |
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5 | |
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6 | These techniques are implemented with custom Breeders in combination with a |
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7 | special SelectionMethod which handles the dirty work of truncation selection. |
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8 | The SelectionMethod is: |
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9 | |
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10 | ec.es.ESSelection |
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11 | |
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12 | This method should only be used with the Breeders in this package. You can |
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13 | place ESSelection anywhere in your pipeline, including multiple times if you |
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14 | like. It will return the mu best individuals in the population, one at a time, |
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15 | each time it's pulsed. Individual ESSelection methods in various parts of |
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16 | your pipeline will return the same individual. |
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17 | |
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18 | The (mu,lambda) evolution strategy is implemented with the Breeder |
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19 | |
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20 | ec.es.MuCommaLambdaBreeder |
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21 | |
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22 | This breeder requires you to specify a 'mu' value and a 'lambda' value for |
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23 | each subpopulation. You need to provide a 'lambda' value instead of just |
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24 | the subpopulation size because the subpopulation size is used solely to set the |
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25 | INITIAL size of the subpopulation. |
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26 | |
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27 | The (mu+lambda) evolution strategy has exactly the same options, and is |
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28 | implemented in a subclass: |
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29 | |
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30 | ec.es.MuPlusLambdaBreeder |
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