An improved PSO method with application to multimodal functions of inverse problems

IEEE Transactions on Magnetics

Volumn 43, Issue 4, 2007, Pages 1597-1600

  Ho, S L ^a   Yang, S Y ^b   Ni, G Z ^b   Wong, K F ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b ZHEJIANG UNIVERSITY   (China)

Author keywords

Design optimization; Evolutionary algorithm; Global optimal method; Particle swarm optimization (PSO) method

Indexed keywords

EVOLUTIONARY ALGORITHMS; GLOBAL OPTIMIZATION; NUMERICAL METHODS; PARTICLE DETECTORS;

ADAPTIVE VELOCITY ADJUSTMENT SCHEME; MULTIMODAL FUNCTIONS; PARTICLE SWARM OPTIMIZATION (PSO) METHODS; SIMPLE REFINEMENT SEARCHING SCHEME;

INVERSE PROBLEMS;

EID: 33947656461     PISSN: 00189464     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMAG.2006.892108     Document Type: Article

References (5)

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2. J. Kennedy and R. Eberhart, "PSO optimization," in Proc IEEE Int. Conf. on Neural Networks, 1995, vol. IV, pp. 1941-1948.
3. A. Silva, A. Neves, and E. Costa, "An empirical comparison of particle swarm and predator prey optimization," Lecture Notes in Computer Sci., vol. 2464, pp. 103-110, 2002.
4. R. Y. Tang, S. Y. Yang, Y. Li, G. Wen, and T. M. Mei, "Combined strategy of improved simulated annealing and genetic algorithm for inverse problems," IEEE Trans. Magn., vol. 32, pp. 1326-1329, 1996.
5. S. Y. Yang, G. Z. Ni, and Y. Li, "An universal tabu search algorithm for global optimization of multimodal functions with continuous variables in electromagnetics," JEEE Trans. Magn., vol. 34, pp. 2901-2904, 1998.