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基于多父体杂交的小生境演化算法
Multi-parent-crossover niches evolutionary algorithm
【摘要】 在分析了简单遗传算法求解带约束的多峰值函数优化中存在的问题的基础上,提出了利用小生境技术和多父体杂交的演化算法,对复杂的多峰值函数优化问题进行了测试,证实该算法能够快速求出多峰函数的所有全局最优解,而且搜索效率高,达到了令人满意的效果.
【Abstract】 When simple genetic algorithm are employed to pursue multimodal function optimization with restriction,some problems appear.Based on analyzing the problems,we propose an evolutionary algorithm by using niches technology and multi-parent-crossover technology to experiment on complex multimodal function optimization with samples.The experimental results show that the algorithm can find all the most optimized global solutions to the function,and the researching efficiency and effect are excellent.
【关键词】 演化算法;
小生境;
多父体杂交;
多峰值函数;
【Key words】 evolutionary algorithm; niches; multi-parent-crossover; multimodal function;
【Key words】 evolutionary algorithm; niches; multi-parent-crossover; multimodal function;
【基金】 湖北教育厅重点科研项目(2002A04006)资助
- 【文献出处】 黄冈师范学院学报 ,Journal of Huanggang Normal University , 编辑部邮箱 ,2006年03期
- 【分类号】TP18
- 【下载频次】57