| 多目标优化问题的连续域蚁群算法仿真研究 |
| |
| 引用本文： | 刘正龙,杨艳梅.多目标优化问题的连续域蚁群算法仿真研究[J].微计算机信息,2010(4). |
| |
| 作者姓名： | 刘正龙 杨艳梅 |
| |
| 作者单位： | 川北医学院计算机与数学教研室;西华师范大学数学与信息学院; |
| |
| 摘 要： | 本文研究了一种用于求解带有多个约束条件(multi-objective optimization problem,MOP)的连续域蚁群算法。该算法定义了连续域中信息量的留存方式和蚂蚁的行走策略,并将信息素交流和基于全局最优经验指导两种寻优方式相结合,将当前发现的所有的非支配解保存起来,进而用这些解来指导蚂蚁朝着散布较为稀疏的区域寻优,以保证解的分布性能,并提高了蚁群算法的收敛速度,同时维持了群体的多样性。
|
| 关 键 词： | 多目标 优化 连续域 蚁群算法 |
Multi-objective Optimization Problem Continual Domain Ant colony Algorithm Simulation Research |
| |
| LIU Zheng-long YANG Yan-mei.Multi-objective Optimization Problem Continual Domain Ant colony Algorithm Simulation Research[J].Control & Automation,2010(4). |
| |
| Authors: | LIU Zheng-long YANG Yan-mei |
| |
| Affiliation: | LIU Zheng-long YANG Yan-mei(Dept. of Mathematics , Computer,North-SiChuan Medical College,637007,China) (Mathematics & Information College,West China Normal Unvisersity,NanChong,637000,China) |
| |
| Abstract: | This paper has studied one kind uses in solving has multi-objective optimization problem continual territory ant colony algorithm. This algorithm defined in the continual territory the information content to preserve the way and the ant walks the strategy,And instructed the information element exchange and based on the overall situation most superior experience two optimization ways to unify,Preserved the current discovery all non-control solution,then instructed the ant with these solutions to face is spre... |
| |
| Keywords: | Multi-objectives Optimization Continual domain Ant colony algorithm |
| 本文献已被 CNKI 等数据库收录！ |
|
