Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/14803| Title: | Simulation of a new hybrid particle swarm optimization algorithm | Authors: | Luo, P Ni, P Yao, L Ho, SL Ni, G Xia, H |
Keywords: | Crossover Mutation Optimization Particle swarm optimization |
Issue Date: | 2007 | Publisher: | IOS Press | Source: | International journal of applied electromagnetics and mechanics, 2007, v. 25, no. 1-4, p. 705-710 How to cite? | Journal: | International journal of applied electromagnetics and mechanics | Abstract: | In this paper, a new hybrid Particle Swarm Optimization algorithm is introduced which makes use of the characteristics of Simulated Annealing method, and the crossover and mutation operations of Genetic Algorithms. Simulation results demonstrate that the proposed algorithm observes faster convergent rate for a certain class of optimal problems. | URI: | http://hdl.handle.net/10397/14803 | ISSN: | 1383-5416 (print) |
| Appears in Collections: | Journal/Magazine Article |
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