摘要
介绍了常用的实数编码遗传算法及相应的交叉操作策略，通过理论分析和模拟实验研究了不同实数编码交叉操作的搜索效率。提出两种改进的交叉操作——有效线性交叉操作和张弛线性交叉操作，使子代个体在搜索空间内达到均匀分布。
This paper introduces some real-coded schemes and relevant crossover operators, and studies the efficiency of these crossover operators by both theoretical analysis and computer simulation. Two new operators, valid linear crossover operator and relaxation linear crossover operator, are presented to improve optimization ability of GA.The children individuals generated by new crossover operators show an uniform probability distribution in whole search space.
出处
《控制与决策》
EI
CSCD
北大核心
1998年第A07期496-499,503,共5页
Control and Decision
基金
国家自然科学基金"九五"重大项目
关键词
遗传算法
实数编码
交叉操作
概率分布
genetic algorithm, real-coded, crossover operator, probability distribution
