1Eberhart R, Kennedy J. A New Optimizer Using Particles Swarm Theory[C]. Proc Sixth International Symposium on Micro Machine and Human Science. Nagoya, Japan: IEEE Service Center, Piseataway.1995.39-43.
2Xie X, Zhang W, Yang Z. Adaptive Particle Swarm Optimization on Individual Level[C]. International Conference on Signal Processing (ICSP 2002). Beijing: 2002. 1215-1218.
3Parsopoulos K E, Vrahatis M N. Recent Approaches to Global Optimization Problems Through Particle Swarm Optimization[J]. Natural Computing, 2002, 1(2-3): 235-306.
4Ray T, Liew K M. A Swarm Metaphor for Multiobjective Design Optimization [J]. Engineering Optimization,2002, 34(2): 141-153.
5Lin S, Kernighan B W. An Effective Heuristic Algorithm for the Traveling Salesman Problem[J]. Operations Res, 1973, 21: 498-516.
6黄岚 王康平 周春光.Hybrid Ant Colony Algorithm for Traveling Salesman Problem (基于蚂蚁算法的混合方法求解旅行商问题).Journal of Jilin Unlversity(Science Edition)[吉林大学学报(理学版)],2002,40(4):369-373.
7EBERHART R C, KENNEDY J. A new optimizer using particles swarm theory [A]. Proceeding of Sixth International Symposium on Micro Machine and Human Science [C]. Piscataway, NJ, USA: IEEE Service Center, 1995. 39-43.
8LI Junjun, WANG Xihuai. A modified particle swarm optimization algorithm [A]. Proceedings of the 5th World Congress on Intelligent Control and Automation [C]. Piscataway, NJ,USA: IEEE Service Center, 2004. 354-356.
9WANG Xihuai, LI Junjun. Hybrid particle swarm optimization with simulated annealing [A]. Proceedings of 2004 International Conference on Machine Learning and Cybernetics[C]. Piscataway, NJ, USA: IEEE Service Center, 2004.2402-2405.
10DANTZING G, RAMSER J. The truck dispatching problem [J]. Management Science, 1959, 10(6): 80-91.