A proposal for improved Particle Swarm Optimization

Since 1995, the proposal of Particle Swarm Optimization (PSO) by professor Kennedy and Eberhart has been succeeded in solving for many optimization problems, PSO is a vastly discussed worldwide by researchers. Due to the undetermined parameters in PSO, many suggestions for parameters assignment are under developed and proposed nowadays. Classifying optimization problems into three classes, this paper suggests an improved algorithm of PSO to handle three classes of optimization problems respectively.

[1]  Zhihua Cui,et al.  Individual Parameter Selection Strategy for Particle Swarm Optimization , 2009 .

[2]  Andries P. Engelbrecht.  Computational Intelligence , 2002, Lecture Notes in Computer Science.

[3]  Yue Shi,et al.  A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[4]  M. Clerc,et al.  The swarm and the queen: towards a deterministic and adaptive particle swarm optimization , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[5]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[6]  Maurice Clerc,et al.  The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..

[7]  M. Clerc,et al.  Particle Swarm Optimization , 2006 .

[8]  Xiaolong Li,et al.  Improved Particle Swarm Optimization with Wavelet-Based Mutation Operation , 2012, ICSI.

[9]  René Thomsen,et al.  A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

[10]  Jun Sun,et al.  A global search strategy of quantum-behaved particle swarm optimization , 2004, IEEE Conference on Cybernetics and Intelligent Systems, 2004..