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《Journal of Anhui Agricultural Sciences》 2012-08
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Quantum Artificial Fish School Algorithm

QI Ming-jun et al(Hebi Occupation Technology College,Hebi,Henan 458030)  
To improve search ability and optimization efficiency and avoid premature convergence for artificial fish school algorithm(AFSA),a novel quantum AFSA for continuous space optimization was proposed.Artificial fishes were encoded by the phase of quantum bit,evolved by quantum rotation gates,and mutated by quantum Pauli—Z gate.The simulation results showed that the approach is superior to either common AFSA or simple genetic algorithm in both search capability and optimization efficiency.
【Fund】: 河南省高等教育省级重点研究基金项目(2009SJGJX361)
【CateGory Index】: TP18
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【Co-citations】
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