| 一种改进的遗传算法在多峰值函数优化问题中的应用 |
| |
| 引用本文： | 吴燕仙. 一种改进的遗传算法在多峰值函数优化问题中的应用[J]. 内蒙古师范大学学报(自然科学版), 2007, 36(3): 315-318 |
| |
| 作者姓名： | 吴燕仙 |
| |
| 作者单位： | 浙江金华教育学院,现代教育技术中心,浙江,金华,321000 |
| |
| 摘 要： | 针对标准遗传算法在处理多峰值函数优化问题中存在的收敛性问题，设计了一种自适应多位变异遗传算法．有效地解决了过早收敛、局部搜索能力差和全局收敛性问题．实例计算表明.改进后的遗传算法是有效和可行的．
|
| 关 键 词： | 自适应多位变异遗传算法 多峰值函数 变异概率 收敛性能 |
| 文章编号： | 1001-8735（2007）03-0315-04 |
| 收稿时间： | 2006-07-12 |
| 修稿时间： | 2006-07-12 |
Application of a Modified Genetic Algorithm in Multimodal Function Optimization |
| |
| WU Yan-xian. Application of a Modified Genetic Algorithm in Multimodal Function Optimization[J]. Journal of Inner Mongolia Normal University(Natural Science Edition), 2007, 36(3): 315-318 |
| |
| Authors: | WU Yan-xian |
| |
| Affiliation: | Modern Education Technique Center, Jinhua Education College, Jinhua, Zhejiang 321000, China |
| |
| Abstract: | Some convergence problems in application of the standard genetic algorithm to the Multimo- dal Function optimization problems were discussed and the adaptive multiple bit mutation genetic algorithm was presented, which efficiently solves the premature convergence, partial search performance difference and the global convergence. The results of the applications showed that the modified genetic algorithm is practical and efficient. |
| |
| Keywords: | adaptive multiple bit mutation genetic algorithm multimodal function mutation probability convergence property |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
