遗传算法中遗传算子的启发式构造策略  

A HEURISTIC POLICY FOR CONSTRUCTING CROSSOVER IN GENETIC ALGORITHMS

作　　者：吴少岩[1] 许卓群[1] 

机构地区：[1]北京大学计算机科学与技术系,北京100871

出　　处：《计算机学报》1998年第11期1003-1008,共6页Chinese Journal of Computers

摘　　要：遗传算子是影响遗传算法搜索性能的重要因素，本文研究交配算子与其探索子空间的关系，提出设计良好算子的指导性原则，并构造出一种启发式交配算子．Genetic operators are critical factors affecting GA's performance. In this paper the relationship between crossover operator and its exploration subspace is investigated and some policies for guiding the design of effective crossovers are concluded. Based on the policies, a heuristic crossover operator is constructed.

关 键 词：遗传算法 搜索 优化 人工智能 

分 类 号：O242.23[理学—计算数学] TP18[理学—数学]