摘要
遗传算法是一种比较成熟的智能算法,一般通过改进遗传算法的算子达到提高算法性能的目的。提出一种改进的遗传算法,遗传算子是基于近邻选择策略设计的,另外还对评估函数、种群多样性以及保留精英算子等方面对遗传算法进行了改进,并将其应用到旅行商问题的求解上,实验结果表明提出的算法是有效的。
Genetic algorithm is a kind of more mature intelligent algorithm,which is generally improved by enhancing the operator of genetic algorithm.The paper proposes an improved genetic algorithm.Its genetic operator is designed based on neighbor choosing strategy.Besides,the genetic algorithm is improved in the evaluation function,variety of populations,saving the elite operator etc.And then it is applied to traveling salesman problem.The experiment result indicates that the improved genetic algorithm is effective.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第33期45-47,共3页
Computer Engineering and Applications
基金
浙江省高等教育学会资助项目(No.Y200801)
杭州师范大学科技创新与文化创意基金项目(No.2009XJ076)
关键词
遗传算法
智能算法
近邻选择策略
遗传算子
旅行商问题
genetic algorithm
intelligent algorithm
neighbor choosing strategy
genetic operator
traveling salesman problem
