| 解决多目标优化问题的几种进化算法的比较研究 |
| |
| 引用本文： | 王晓笛,肖伟.解决多目标优化问题的几种进化算法的比较研究[J].数字社区&智能家居,2011(7). |
| |
| 作者姓名： | 王晓笛 肖伟 |
| |
| 作者单位： | 湖南师范大学; |
| |
| 摘 要： | 进化算法具有适于解决多目标优化问题的特性,近来一直用于求解此类问题。群体智能优化算法是一种基于群体智能的进化算法,通过简单个体的交互表现出高度智能,大大增强了解决和处理优化问题的能力。分析了遗传算法、粒子群算法和混洗蛙跳算法的具体流程,比较了这三种进化算法的优劣。
|
| 关 键 词： | 进化算法 群体智能 遗传算法 粒子群算法 混洗蛙跳算法 |
Solve the Multi-objective Optimization Problem of Comparative Study of Several Evolutionary Algorithm |
| |
| WANG Xiao-di,XIAO Wei.Solve the Multi-objective Optimization Problem of Comparative Study of Several Evolutionary Algorithm[J].Digital Community & Smart Home,2011(7). |
| |
| Authors: | WANG Xiao-di XIAO Wei |
| |
| Affiliation: | WANG Xiao-di,XIAO Wei (Hunan Normal University,Changsha 410081,China) |
| |
| Abstract: | Evolution algorithms,which preperty is resolving Mop,recently is used for solving/settling these problems.Swarm intelligence optimization algorithm is advanced algorithm based on swarm intelligence,highly enhanced the ability of resolving and handling optimization problem by showing high intelligence internal mutual reciprocity among simple individuals.We compared the advantagement and disadvantagement by analyzing detail process of GA,PSO and SFLA. |
| |
| Keywords: | evolution algorithms swarm intelligence GA PSO SFLA |
| 本文献已被 CNKI 等数据库收录！ |
|
