基于迭代函数系统的实编码遗传算法交叉运算

S. Ling
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引用次数: 4

摘要

提出了一种用于实编码遗传算法的迭代函数系统交叉(IFSX)运算。迭代函数系统(IFS)是一种保持相似特征的分形。通过在交叉操作中引入IFS, RCGA在一组基准测试函数中收敛速度更快,搜索结果更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Iterated Function System-Based Crossover Operation for Real-Coded Genetic Algorithm
An iterated function system crossover (IFSX) operation for real-coded genetic algorithms (RCGAs) is presented in this paper. Iterated function system (IFS) is one type of fractals that maintains a similarity characteristic. By introducing the IFS into the crossover operation, the RCGA performs better searching solution with a faster convergence in a set of benchmark test functions.
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