进化多智能体技术在多目标优化中的应用  

MULTI-OBJECTIVE OPTIMIZATION USING EVOLUTIONAL MULTI-AGENT TECHNIQUE

作　　者：厉小军 俞欢军[2] 李绍军[2] 胡上序[2] 

机构地区：[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

出　　处：《磁流体发电情报》2004年第3期390-395,共6页

基　　金：国家自然科学基金资助项目 (No 2 0 0 760 41)~~

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。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.

关 键 词：多目标优化 进化 多智能体 人工智能 遗传算法 

分 类 号：O224[理学—运筹学与控制论] TP18[理学—数学]