文件名称:implementationofCoevolutionaryalgorithm
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 10kb
- 下载次数：
- 3次
- 提 供 者：
- 刘**
- 相关连接：
- 无
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- 别用迅雷下载，失败请重下，重下不扣分！
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利用帕累托最优和协同进化算法做一个模拟，可以应用在多目标优化上。-a simulation using pareto optimization and co-evolutionay algorithm, it could be used to solve multiple objective optimization.
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下载文件列表
an implementation of Coevolutionary algorithm\betterinone.m
.............................................\compare_on_all.m
.............................................\compare_on_one.m
.............................................\compare_symmetric.m
.............................................\delphi.m
.............................................\distinctions.m
.............................................\dominates.m
.............................................\equalorbetterinall.m
.............................................\generatelearners.m
.............................................\generatetests.m
.............................................\init.m
.............................................\mut.m
.............................................\neu.m
.............................................\percep1.m
.............................................\play.m
.............................................\playgames.m
.............................................\Readme.m
.............................................\replace_learners.m
.............................................\replace_tests.m
.............................................\rotate.m
.............................................\rotated_compare_on_one.m
.............................................\SA1.m
.............................................\stats.m
.............................................\STexamp6.m
.............................................\visualize.m
.............................................\wfl.m
an implementation of Coevolutionary algorithm
.............................................\compare_on_all.m
.............................................\compare_on_one.m
.............................................\compare_symmetric.m
.............................................\delphi.m
.............................................\distinctions.m
.............................................\dominates.m
.............................................\equalorbetterinall.m
.............................................\generatelearners.m
.............................................\generatetests.m
.............................................\init.m
.............................................\mut.m
.............................................\neu.m
.............................................\percep1.m
.............................................\play.m
.............................................\playgames.m
.............................................\Readme.m
.............................................\replace_learners.m
.............................................\replace_tests.m
.............................................\rotate.m
.............................................\rotated_compare_on_one.m
.............................................\SA1.m
.............................................\stats.m
.............................................\STexamp6.m
.............................................\visualize.m
.............................................\wfl.m
an implementation of Coevolutionary algorithm