种群富集在遗传规划中的作用

Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence Pub Date : 1994-06-27 DOI:10.1109/ICEC.1994.349907

John E. Perry

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引用次数: 20

摘要

本文研究了“种群富集”在遗传规划中的作用，作为一种在大问题空间中有效发现有前途的解探索方向的手段。利用遗传规划，不限制溶液的大小或形状是有利的，而富集提供了一种有效的方法，为初始种群提供了有趣的发展选择。使用不同的随机种子进行多次精简运行，以保持成员的大小较小并节省处理时间。每次精简运行的最佳成员被用来创建一个充实的种群，在合并运行开始时，该种群与随机生成的唯一成员的完整补充一起加载

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The effect of population enrichment in genetic programming

The paper examines the effect of "population enrichment" in genetic programming as a means of efficiently discovering promising directions for solution exploration in a large problem space. With genetic programming it is advantageous to not restrict the size or shape of the solution and enrichment offers an efficient way to present the initial population with interesting options for development. Multiple abbreviated runs were made, using different random seeds, to keep the size of the members small and save processing time. The best member from each abbreviated run was used to create an enriched population which was loaded along with a full complement of randomly generated unique members at the beginning of a consolidated run.<>

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Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence

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