MULTI-OBJECTIVE OPTIMIZATION USING EVOLUTIONAL MULTI-AGENT TECHNIQUE

LI Xiaojun; YU Huanjun; LI Shaojun; HU Shangxu

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MULTI-OBJECTIVE OPTIMIZATION USING EVOLUTIONAL MULTI-AGENT TECHNIQUE

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- MULTI-OBJECTIVE OPTIMIZATION USING EVOLUTIONAL MULTI-AGENT TECHNIQUE
- CIESC Journal Issue 3, Pages: 390-395(2004)
- 作者机构：
  
  1. 杭州商学院,浙江,杭州,310035
  2. 浙江大学材料与化工学院,浙江,杭州,310027
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：25 March 2004，
  
  Published：25 March 2004
- 稿件说明：
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LI Xiaojun, YU Huanjun, LI Shaojun, et al. MULTI-OBJECTIVE OPTIMIZATION USING EVOLUTIONAL MULTI-AGENT TECHNIQUE[J]. CIESC Journal, 2004, (3): 390-395.
DOI：

LI Xiaojun, YU Huanjun, LI Shaojun, et al. MULTI-OBJECTIVE OPTIMIZATION USING EVOLUTIONAL MULTI-AGENT TECHNIQUE[J]. CIESC Journal, 2004, (3): 390-395. DOI：

摘要

针对多目标优化研究中传统遗传算法存在的一些问题，引入人工智能领域新兴发展起来的多智能体技术，结合遗传算法形成进化多智能体系统来求解多目标优化问题.主要对进化多智能体系统框架、进化遗传算法进行了论述.

Abstract

There are some difficulties when traditional genetic algorithm is used to solve multi-objective optimization. Therefore

a newly developed multi-agent technique is introduced to solve multi-objective optimization

and is combined with genetic algorithm to form evolutional multi-agent. Evolutional multi-agent system frame and evolutional genetic algorithm are mainly discussed in this paper.

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