[1]EBERHART R, KENNEDY J. A new optimizer using particle swarm theory [C]// Proceedings of the 6th Symposium on Micro Machine and Human Science. Piscataway: IEEE Press, 1995: 39-43.
[2]MOORE J, CHAPMAN R. Application of particle swarm to multiobjective optimization [R]. Auburn, AL: Auburn University, Department of Computer Science and Software Engineering, 1999.
[3]COELLO C A C, PULIDO G T, LECHUGA M S. Handling multiple objectives with particle swarm optimization [J]. IEEE Transactions on Evolutionary Computation, 2004, 8(3): 256-279.
[4]PENG WEI, ZHANG QINGFU. A decomposition-based multi-objective particle swarm optimization algorithm for continuous optimization problems [C]// Proceedings of 2008 IEEE International Conference on Granular Computing. Piscataway: IEEE Press, 2008: 534-537.
[5]张利彪,周春光,马铭,等.基于粒子群算法求解多目标优化问题[J].计算机研究与发展,2004,41(7):1286-1291.
[6]ZHANG QINGFU, LI HUI. MOEA/D: A multiobjective evolutionary algorithm based on decomposition [J]. IEEE Transactions on Evolutionary Computation, 2007, 11(6): 712-731.
[7]LIANG J J, SUGANTHAN P N. Dynamic multi-swarm particle swarm optimizer [C]// Proceedings of IEEE International Swarm Intelligence Symposium. Piscataway: IEEE Press, 2005: 124-129.
[8]ZITZLER E, DEB K, THIELE L. Comparison of multiobjective evolutionary algorithms: Empirical results [J]. Evolutionary Computation, 2000, 8(2): 173-195.
[9]van VELDHUIZEN D A, LAMONT G B. Multiobjective evolutionary algorithm research: A history and analysis, TR-98-03[R]. Ohio: Air Force Institute of Technology, Wright-Patterson Air Force Base, 1998.
[10]SCHOTT J R. Fault tolerant design using single and multicriteria genetic algorithm optimization [D]. Cambridge: Massachusetts Institute of Technology, 1995.