Volume 8 Number 12 ( Dec. 2013)
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JSW 2013 Vol.8(12): 2991-2995 ISSN: 1796-217X
doi: 10.4304/jsw.8.12.2991-2995

Improved Multi-objective Evolutionary Algorithm for Multi-agent Coalition Formation

Bo Xu1, Ruizhe Zhang2, JianPing Yu3
1Department of Computer Science and Technology of Guangdong University of Petrochemical Technology, Guangdong Province, P.R.China
2Computer Science and Technic Academy Department, Pingdingshan University, Henan Province, P.R.China
3College of Mathematics and Computer Science, Key Laboratory of High Performance Computing and Stochastic Information Processing,Hunan Normal University,Hunan Province, P.R.China

Abstract—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.

Index Terms—Multi-agent; coalition formation; multiobjective optimization; evolutionary algorithm.

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Cite: Bo Xu, Ruizhe Zhang, JianPing Yu, "Improved Multi-objective Evolutionary Algorithm for Multi-agent Coalition Formation," Journal of Software vol. 8, no. 12, pp. 2991-2995, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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