计算机工程2009，Vol.35Issue(15)：168-169,172,3.
基于蚁群算法的多目标优化
Multi-objective Optimization Based on Ant Colony Algorithm
池元成 1蔡国飙1
作者信息
- 1. 北京航空航天大学宇航学院,北京100083
- 折叠
摘要
Abstract
Aiming at multi-objective optimization problem, this paper proposes an Ant Colony Algorithm(ACA) for solving Multi-objective Optimization Problem(MOPACA). An improved pheromone updating process based on continuous space is described. Two moving strategies are used in the searching process to ensure better solutions. Convergence property of the algorithm is analyzed. Preliminary simulation results of two benchmark functions show the feasibility of the algorithm.关键词
蚁群算法/多目标优化/收敛性分析Key words
Ant Colony Algorithm(ACA)/ multi-objective optimization/ convergence analysis分类
信息技术与安全科学引用本文复制引用
池元成,蔡国飙..基于蚁群算法的多目标优化[J].计算机工程,2009,35(15):168-169,172,3.
