Quantum Particle Swarm Optimization Algorithm
Based on the problem of traditional particle swarm optimization (PSO) easily trapping into local optima, quantum theory is introduced into PSO to strengthen particles’ diversities and avoid the premature convergence effectively. Experimental results show that this method proposed by this paper has s...
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| Veröffentlicht in: | Applied Mechanics and Materials 2011-06, Vol.63-64, p.106-110 |
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| container_title | Applied Mechanics and Materials |
| container_volume | 63-64 |
| creator | Xu, Yu Fa Gao, Jie Chen, Guo Chu Yu, Jin Shou |
| description | Based on the problem of traditional particle swarm optimization (PSO) easily trapping into local optima, quantum theory is introduced into PSO to strengthen particles’ diversities and avoid the premature convergence effectively. Experimental results show that this method proposed by this paper has stronger optimal ability and better global searching capability than PSO. |
| doi_str_mv | 10.4028/www.scientific.net/AMM.63-64.106 |
| format | Article |
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| language | eng |
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| source | Scientific.net Journals |
| title | Quantum Particle Swarm Optimization Algorithm |
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