New crossover operators in genetic algorithms

Yi Shang, Guo-Jie Li
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引用次数: 18

Abstract

Two new crossover operators in genetic algorithms for solving some combinatorial problems with ordering are presented. One is enhanced order crossover (EOX). The other, GREE, is a heuristic crossover for a class of combinatorial optimization problems, such as traveling salesman problems (TSPs). Genetic algorithms using GREE as unique crossover run very fast and get good solutions. Combining GREE with EOX, genetic algorithms can find optimal or very near optimal solutions in a rather short time.<>
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遗传算法中的新交叉算子
提出了遗传算法中求解排序组合问题的两种新的交叉算子。一个是增强的订单交叉(EOX)。另一个是GREE,它是一类组合优化问题的启发式交叉,例如旅行推销员问题(tsp)。使用GREE作为独特交叉的遗传算法运行速度非常快,并且得到了很好的解决方案。结合GREE和EOX,遗传算法可以在相当短的时间内找到最优或非常接近最优的解决方案。
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