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https://issues.apache.org/jira/browse/MATH-207?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12689486#action_12689486
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David Stefka commented on MATH-207:
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Hi again,
I have finished work on better representation of permutations in GA, so I am
sending the implementation in a .zip file. The code includes:
* new implementation of RandomKey -- chromosome representing permutations; the
old PermutationChromosome implementation has been removed
* some minor improvements (chromosome's representation is held in an
unmodifiable list instead of an array, better implementation of generic issues,
renaming of several classes, etc.)
* GeneticAlgorithm has a static Random instance, which is used for all random
numbers in the implementation. This is useful for debugging, because if the
Random is initialized to a particular seed, the behavior can be reproduced. If
a similar mechanism is already somewhere in the
* the code should be java 1.5 compatible
* all the files should include the Apache license headers
I have also filled and signed the CLA and sent it to [email protected]
> Implementation of GeneticAlgorithm.nextGeneration() is wrong
> ------------------------------------------------------------
>
> Key: MATH-207
> URL: https://issues.apache.org/jira/browse/MATH-207
> Project: Commons Math
> Issue Type: Bug
> Affects Versions: 2.0
> Reporter: David Stefka
> Assignee: Phil Steitz
> Fix For: 2.0
>
> Attachments: geneticalgorithm.patch, genetics_impl.zip, patch
>
> Original Estimate: 0.17h
> Remaining Estimate: 0.17h
>
> The implementation of GeneticAlgorithm.nextGeneration() is wrong, since the
> only way how a Chromosome can get into the new generation is by mutation.
> Enclosed, I am sending a patch for this.
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