Improved multi-objective evolutionary algorithm for multi-agent coalition formation

被引：4

作者：

机构：

[1] Department of Computer Science and Technology of Guangdong, University of Petrochemical Technology, Guangdong Province

[2] Computer Science and Technic Academy Department, Pingdingshan University, Henan Province

[3] College of Mathematics and Computer Science, Key Laboratory of High Performance Computing and Stochastic Information Processing, Hunan Normal University, Hunan Province

来源：

Xu, B. (xubo807127940@163.com) | 1600年 / Academy Publisher卷 / 08期

关键词：

Coalition formation; Evolutionary algorithm; Multi-agent; Multiobjective optimization;

D O I：

10.4304/jsw.8.12.2991-2995

中图分类号：

学科分类号：

摘要：

One of the key problems in multi-agent coalition formation is to optimally assign and schedule resources. An improved multi-objective evolutionary Algorithm (IMOEA) is proposed to solve this problem. Compared with several well-known algorithms such as NSGA, MOEA, experimental results show the algorithm is very suitable for coalition formation problem. © 2013 Academy Publisher.

引用

页码：2991 / 2995

页数：4

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