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基于遗传编程进化规划的变异算子的自动化设计

Automatic Design of Mutation Operators in Evolutionary Programming Based on Genetic Programming
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摘要 变异是进化规划的唯一算子,随着计算机技术的迅猛发展,以及研究人员在该领域近15年的不断研究,利用计算机寻找变异算子的方法成为可能,并得以实现——即通过遗传编程的方法寻找变异算子.通过新方法找出的变异算子,使进化规划算法的效率获得大幅提升. Mutation operator is the only operator in evolutionary programming. Along with the rapid development of computer technology, it becomes possible to search mutation operators by computer on the basis ot- 15 years researches in this field, that is to search mutation operators by genetic programming. The mutation operators obtained by the new method improved the efficiency of evolutionary programming algorithm greatly.
作者 洪立斌 虞歌
出处 《杭州师范大学学报(自然科学版)》 CAS 2013年第2期173-179,共7页 Journal of Hangzhou Normal University(Natural Science Edition)
关键词 进化规划 遗传编程 高斯分布 柯西分布 Lévy分布 变异算子 元学习 Evolutionary Programming genetic programming Gaussian distribution Cauchy distribution L6vydistribution mutation operator meta-learning
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参考文献11

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