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

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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.