CIESC Journal ›› 2004, Vol. 55 ›› Issue (3): 390-395.
Previous Articles Next Articles
LI Xiaojun;YU Huanjun;LI Shaojun;HU Shangxu
Online:
Published:
厉小军;俞欢军;李绍军;胡上序
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.
Key words: 进化多智能体, 多目标优化, 遗传算法
进化多智能体,
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.
关键词: 进化多智能体, 多目标优化, 遗传算法
LI Xiaojun, YU Huanjun, LI Shaojun, HU Shangxu. MULTI-OBJECTIVE OPTIMIZATION USING EVOLUTIONAL MULTI-AGENT TECHNIQUE[J]. CIESC Journal, 2004, 55(3): 390-395.
厉小军, 俞欢军, 李绍军, 胡上序. 进化多智能体技术在多目标优化中的应用 [J]. 化工学报, 2004, 55(3): 390-395.
0 / / Recommend
Add to citation manager EndNote|Ris|BibTeX
URL: https://hgxb.cip.com.cn/EN/
https://hgxb.cip.com.cn/EN/Y2004/V55/I3/390
LIU Yongzhong;DUAN Haitao;FENG Xiao
Approach to evaluation of optimal schemes for water networks based on game theory
Margin analysis and control design of FCCU regenerator based on dynamic optimization(Ⅱ)Solution and result analysis
Multi-objective optimization of PID controller parameters for unstable FOPDT plants
Synthesis of water utilization networks with mass load uncertainty based on fuzzy programming