[1]  Deb K, Pratap A, Agarwal S, et al. A Fast and Elitist Multi-objective Genetic Algorithm: NSGA-Ⅱ[J] . IEEE Trans on Evolutionary Computation, 2002, 6(2): 182-197.
[2]  Zitzler E, Laumanns M, Thiele L. SPEA2: Improving the Strength Pareto Evolutionary Algorithm[C] //Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems. Athens: EUROGEN, 2002: 95-100.
[3]  Eberhart R C, Kennedy J. A New Optimizer Using Particle Swarm Theory[C] //Proceedings of the Sixth International Symposium on Micro Machine and Human Science. Nagoya: IEEE, 1995: 39-43.
[4]  Coello C C A, Pulido G T, Lechuga M S. Handling Multiple Objectives with Particle Swarm Optimization[J] . IEEE Trans on Evolutionary Computations, 2004, 8(3): 256-279.
[5]  Li X. A Non-dominated Sorting Particle Swarm Optimizer for Multi-objective Optimization[C] //Proc Genetic and Evolutionary Computation-GECCO 2003. Berlin: Springer, 2003: 37-48.
[6]  Fieldsend J E, Sing S. A Multi-objective Algorithm Based Upon Particle Swarm Optimization, an Efficient Data Structure and Turbulence[EB/OL] . [2009-10-20] . www.lania.mx/～ccoello/fieldsend02a.pdf.gz.
[7]  Sierra M R, Coello C C A. Improving PSO-based Multi-objective Optimization Using Crowding, Mutation and E-dominance[C] //Evolutionary Multi-Criterion Optimization Third International Conference. Guanajuato: Springer, 2005: 505-519.
[8]  Abido M A. Two-Level of Nondominated Solutions Approach to Multiobjective Particle Swarm Optimization[C] //GECCO'07. London: ACM, 2007: 728-733.
[9]  Korudu P, Das S, Welch S M. Multi-objective Hybrid PSO Using ε-fuzzy Dominance[C] //Proc of Genetic and Evolutionary Compatation Conference. London: Springer, 2007: 853-860.
[10]  Deb K. Multi-objective Optimization Using Evolutionary Algorithms[M] . Chichester: John Wiley ＆ Sons, 2001.
[11]  Ciuprina G, Ioan D, Munteanu I. Use of Intelligent-particle Swarm Optimization in Electromagnetics[J] . IEEE Trans on Magnetics, 2002, 38(2): 1037-1040.
[12]  Gudise V G, Venayagamoorthy G K. Comparison of Particle Swarm Optimization and Backpropagation as Training Algorithms for Neural Networks[C] //Proceedings of Swarm Intelligence Symposium. Indianapolis: Springer, 2003: 110-117.
[13]  Cui X, Hardin T, Ragade R K, et al. A Swarm-based Fuzzy Logic Control Mobile Sensor Network for Hazardous Contaminants Localization[C] //IEEE International Conference on Mobile Ad-hoc and Sensor Systems. Fort Lauderdale: IEEE, 2004: 194-203.
[14]  Omran M G H, Salman A, Engelbrecht A P. Dynamic Clustering Using Particle Swarm Optimization with Application in Image Segmentation[J] . Pattern Analysis ＆ Applications, 2006, 8(4): 332-344.
[15]  Bandyopadhyay S, Pal S K, Aruna B. Multiobjective GAs, Quantitative Indices, and Pattern Classification[J] . IEEE Trans on Systems, Man, and Cybernetics—Part B: Cybernetics, 2004, 34(5):2088-2099.
[16]  Schott J R. Fault Tolerant Design Using Single and Multictiteria Gentetic Algorithm Optimization[D] . Cambridge: Massachusetts Institute of Technology , 1995: 203.
[17]  McGill R, Tukey J W, Larsen W A. Variations of Boxplots[J] . The American Statistician, 1978(32): 12-16.