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參 考 文 獻
[1]Angeline, P. J., “Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences,” Evolutionary Programming, 1998, pp.601-610
[2]Boyd, R., and Richerson, P.J., Culture and Evolutionary Process, University Of Chicago Press, 1988.
[3]Clerc, M., “The swarm and the queen: towards a deterministic and adaptive particle swarm optimization,” Proceedings of the IEEE Congress on Evolutionary Compution, Seoul, Korea, 1999.
[4]Dorigo, M., Maniezzo, V., and Colorni, A., “The ant system: Optimization by a colony of cooperating agents,” IEEE Transactions on Systems and Cybernetics - Part B, Vol. 26, No.1, 1996, pp.29-41.
[5]Eberhart, R. C., and Shi, Y., “Particle Swarm Optimization: Developments, Application and Resources,” Proceedings of the 2001 Congress on Evolutionary Computation, vol.1, 2001, pp. 81-86.
[6]Eberhart, R.C., and Kennedy, J., “A new optimizer using particle swarm theory,” Proc. Sixth International Symposium on Micro Machine and Human Science, Nagoya, Japan, 1995, pp.39-43.
[7]Eberhart, R.C., and Shi. Y., “Comparison between genetic algorithms and particle swarm optimization,” 1998 Annual Conference on Evolutionary Programming, San Diego, 1998.
[8]Fogel, D and Beyer, H.G., “A Note on the Empirical Evaluation of Intermediate Recombination”, Evolutionary Programming V: Proceedings of the Fifth Annual Conference on Evolutionary Programming
[9]Hu. X., Shi, Y., and Eberhart, R. C., “Recent advances in particle swarm,” Proceedings of IEEE International Conference on Evolutionary Computation, 2004, pp. 90-97.
[10]Jin Xidong, Reynolds Robert G. "Using Knowledge-Based System with Hierarchical Architecture to Guide the Search of Evolutionary Computation", International Journal on Artificial Intelligence Tools Vol.9, No.1, 2000, pp.27-44.
[11]Kennedy, J., and Eberhart, R.C., “Particle swarm optimization,” Proc. IEEE International Conference on Neural Networks (Perth, Australia), IEEE Service Center, Piscataway, NJ, 1995, pp. IV：1942-1948
[12]Kennedy, J., and Eberhart, R.C., Swarm Intelligence. Morgan Kaufmann Press, 2001.
[13]Lovbjerg, M., Rasmussen, T. K., and Krink, T. “Hybrid particle optimizer with breeding and subpopulations,” Proc of Genetic and Evolutionary Computation Conference, 2001, pp.469-476.
[14]PSO Tutorial, Online Available at: http://www.swarmintelligence.org/index.php
[15]Reynolds, C.W., “Flock, Herds, and Schools: A Distributed Behavioral Model,” Computer Graphics, Vol.21, No.4, 1987, pp.25-34.
[16]Reynolds, R.G,. and Sverdlik, W., “Problem solving using cultural algorithms,” Evolutionary Computation. IEEE World Congress on Computational Intelligence, Proceedings of the First IEEE Conference, Vol.2, 1994, pp.645-650
[17]Shi, Y. and Eberhart, R. C. “Fuzzy Adaptive Particle Swarm Optimization,” Proc Congress on Evolutionary Computation. Piscataway: IEEE Press, 2001, pp.101-106
[18]Shi, Y., and Eberhart, R. C., “A modified particle swarm optimizer”, Proceedings of the 1998 IEEE International Conference on Evolutionary Computation. Piscataway. 1998b, pp. 69-73.
[19]Shi, Y., and Eberhart, R. C., “Empirical study of particle swarm optimization,” In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 1999,pp.1945-1950.
[20]Shi, Y., and Eberhart, R. C., “Parameter selection in particle swarm optimization,” Proceedings of the 1998 Annual Conference on Evolutionary Computation, 1998a.
[21]Srinivasan, D., Loo, W.H., and Cheu, R.L., “Traffic incident detection using particle swarm optimization”, Swarm Intelligence Symposium, Proceedings of the 2003 IEEE, pp.144-151.
[22]Stuart P. Lloyd. 1982. “Least squares quantization in PCM.” IEEE Transactions on Information Theory IT-28: 129–137.
[23]艾景波、滕宏飛，文化粒子群優化算法，中國科技論文在線，www.paper.edu.cn
[24]李愛國，多粒子群協同優化算法，复旦學報，第四十三卷•第一期：923-925頁，2004。
[25]胡曉輝，粒子群優化算法介紹，http://icdweb.cc.purdue.edu/~hux，2002。
[26]郭信川、張建仁、劉仁清，粒子群演算法於最佳化問題之研究，第一屆台灣作業研究學會學術研討會暨2004年科技與管理學術研討會，2004。
[27]曾新穆、李建億譯，資料探勘，2003，東華書局。
[28]黃承龍、王良吉、董吉雄，粒子群最佳化演算法之文獻回顧與研究議題分析，2005數位內容管理與應用研討會，2005。
[29]謝曉鋒、張文俊、楊之廉，微粒群算法綜述，控制與決策，第十八卷•第五期：129-134頁，2003
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