Maintaining the diversity of genetic programs
The loss of genetic diversity in evolutionary algorithms may lead to suboptimal solutions.
Many techniques have been developed for maintaining diversity in genetic algorithms, but
few investigations have been done for genetic programs. We define here a diversity
measure for genetic programs based on our metric for genetic trees [3]. We use this distance
measure for studying the effects of fitness sharing. We then propose a method for adaptively
maintaining the diversity of a population during evolution.
Many techniques have been developed for maintaining diversity in genetic algorithms, but
few investigations have been done for genetic programs. We define here a diversity
measure for genetic programs based on our metric for genetic trees [3]. We use this distance
measure for studying the effects of fitness sharing. We then propose a method for adaptively
maintaining the diversity of a population during evolution.
Abstract
The loss of genetic diversity in evolutionary algorithms may lead to suboptimal solutions. Many techniques have been developed for maintaining diversity in genetic algorithms, but few investigations have been done for genetic programs. We define here a diversity measure for genetic programs based on our metric for genetic trees [3]. We use this distance measure for studying the effects of fitness sharing. We then propose a method for adaptively maintaining the diversity of a population during evolution.
Springer
以上显示的是最相近的搜索结果。 查看全部搜索结果