On optimal population size of genetic algorithms

J. Alander
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引用次数: 247

Abstract

A description is given of the results of experiments to find the optimum population size for genetic algorithms as a function of problem complexity. It seems that for moderate problem complexity the optimal population size for problems coded as bitstrings is approximately the length of the string in bits for sequential machines. This result is also consistent with earlier experimentation. In parallel architectures the optimal population size is larger than in the corresponding sequential cases, but the exact figures seem to be sensitive to implementation details.<>
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遗传算法的最优种群大小
描述了遗传算法的最佳种群大小随问题复杂性的函数的实验结果。对于中等复杂性的问题,用位串编码的问题的最佳总体大小似乎近似于序列机器的字符串长度。这一结果也与早期的实验结果一致。在并行体系结构中,最优的人口规模比相应的顺序情况下更大,但确切的数字似乎对实现细节很敏感。
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