摘要
阐述了遗传算法的特点,分析了遗传算法中选择算子、交叉算子和变异算子的特性,讨论了不同遗传算子对算法最优结果的获得所起的作用,提出了改善算法性能的措施,并设计了切实可行的选择算子、交叉算子和变异算子。模拟结果表明,遗传算法能在较短的时间内提供优化解,为解决复杂的优化问题提供了可行方案。
Analyzes characteristics of select operator, crossover operator and mutation operator in genetic algorithm and discusses influences of genetic operators on algorithm performances. Some improvements are presented, Feasible genetic operators are designed. Simulation result is given satisfactorily. The algorithm appears to be a promising method of solving the complex optimization problems,
出处
《计算机技术与发展》
2006年第10期80-82,共3页
Computer Technology and Development
关键词
遗传算子
选择算子
交叉算子
变异算子
genetic operators
select operator
crossover operator
mutation operator
