Modifying the fitness function during the use of an evolutionary algorithm for design

A. Garza
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引用次数: 1

Abstract

We use an evolutionary algorithm in which we change the fitness function periodically to model the fact that objectives can change during creative problem solving. We performed an experiment to observe the behavior of the evolutionary algorithm regarding its response to these changes and its ability to successfully generate solutions for its creative task despite the changes. An analysis of the results of this experiment sheds some light into the conditions under which the evolutionary algorithm can respond with varying degrees of robustness to the changes.
修改适应度函数期间使用的进化算法进行设计
我们使用一种进化算法,周期性地改变适应度函数,以模拟在创造性问题解决过程中目标可能发生变化的事实。我们进行了一个实验来观察进化算法对这些变化的反应,以及它在变化的情况下为创造性任务成功生成解决方案的能力。对该实验结果的分析揭示了进化算法能够以不同程度的鲁棒性响应变化的条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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