Multi-swarm Particle Swarm Optimization with a Center Learning Strategy

详细信息    查看全文

• 作者：Ben Niu (19) (20) (21)
  Huali Huang (19)
  Lijing Tan (22)
  Jane Jing Liang (23)
  
• 关键词：multi ; swarm particle swarm optimization ; center learning strategy ; particle swarm optimizer (PSO)
• 刊名：Lecture Notes in Computer Science
• 出版年：2013
• 出版时间：2013
• 年：2013
• 卷：7928
• 期：1
• 页码：79-86
• 全文大小：200KB
• 参考文献：1. Kennedy, J., Eberhart, R.: Particle Swarm Optimization. In: Proceedings of the 1995 IEEE International Conference on Neural Networks, pp. 1942鈥?948 (1995)
  2. Eberhart, R., Kennedy, J.: A New Optimizer Using Particle Swarm Theory. In: Proceeding of the Sixth International Symposium on Micro Machine and Human Science, pp. 39鈥?3 (1995)
  3. Shi, Y., Eberhart, R.: A Modified Particle Swarm Optimizer. In: Proceedings of 1998 IEEE International Conference on Evolutionary Computation Proceedings, pp. 69鈥?3 (1998)
  4. Kennedy, J., Mendes, R.: Population Structure and Particle Swarm Performance. In: Proceedings of the 2002 Congress on Evolutionary Computation, pp. 1671鈥?676 (2002)
  5. Peram, T., Veeramachaneni, K., Mohan, C.K.: Fitness-distance-ratio Based Particle Swarm Optimization. In: Proceeding of the 2003 IEEE Swarm Intelligence Symposium, pp. 174鈥?81 (2003)
  6. Mendes, R., Kennedy, J., Neves, J.: The Fully Informed Particle Swarm: Simpler, Maybe Better. IEEE Transactions on Evolutionary Computation聽8(3), 204鈥?10 (2004) CrossRef
  7. Parsopoulos, K.E., Vrahatis, M.N.: UPSO鈥揂 Unified Particle Swarm Optimization scheme. Lecture Series on Computational Sciences, pp. 868鈥?73 (2004)
  8. Clerc, M., Kennedy, J.: The Particle Swarm-explosion, Stability, and Convergence in a Multidimensional Complex Space. IEEE Transactions Evolutionary Computation聽6(1), 58鈥?3 (2002) CrossRef
  9. Niu, B., Zhu, Y., He, X.X., Wu, H.: MCPSO: A Multi-swarm Cooperative Particle Swarm Optimizer. Applied Mathematics and Computation聽185(2), 1050鈥?062 (2007) CrossRef
  10. Liang, J.J., Qin, A.K., Suganthan, P.N., Baskar, S.: Comprehensive Learning Particle Swarm Optimizer for Global Optimization of Multimodal Functions. IEEE Transactions on Evolutionary Computation聽10(3), 281鈥?95 (2006) CrossRef
  11. Niu, B., Li, L.: An Improved MCPSO with Center Communication. In: Proceedings of 2008 International Conference on Computational Intelligence and Security, pp. 57鈥?1 (2008)
  
• 作者单位：Ben Niu (19) (20) (21)
  Huali Huang (19)
  Lijing Tan (22)
  Jane Jing Liang (23)
  
  19. College of Management, Shenzhen University, Shenzhen, 518060, China
  20. Department of Industrial and System Engineering, The Hong Kong Polytechnic University, Hong Kong
  21. Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, 230031, China
  22. Management School, Jinan University, Guangzhou, 510632, China
  23. School of Electrical Engineering, Zhengzhou University, Zhengzhou, China
  
• ISSN：1611-3349

文摘

This paper proposes a new variant of particle swarm optimizers, called multi-swarm particle swarm optimization with a center learning strategy (MPSOCL). MPSOCL uses a center learning probability to select the center position or the prior best position found so far as the exemplar within each swarm. In MPSOCL, Each particle updates its velocity according to the experience of the best performing particle of its partner swarm and its own swarm or the center position of its own swarm. Experiments are conducted on five test functions to compare with some variants of the PSO. Comparative results on five benchmark functions demonstrate that MPSOCL achieves better performances in both the optimum achieved and convergence performance than other algorithms generally.