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《Journal of Anhui Agricultural Sciences》 2012-12
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Artificial Fish-school Algorithm Based on Hybrid Strategy Mechanism

SUN Wen-xin et al(Hebi Vocational Technical College,Hebi,Henan 458030)  
Aiming at the shortcoming of slow convergence rate caused by parts of artificial fish in the presence of randomly aimlessly move and tends to plunge into "premature convergence" situation when artificial fish-school algorithm dealt with multi-modal function,an artificial fish-school algorithm based on hybrid strategy mechanism was put forward.Referring to premature judgment mechanism of group position variance,the hybrid and variation operator were introduced into the algorithm.The simulation experiment showed that the algorithm has faster convergence speed than the artificial fish-school algorithm only with one fitness value,and has a strong ability to avoid local minimum,its performance is far superior to the single optimization method.
【Fund】: 社科联资助基金项目(SKL20103224)
【CateGory Index】: TP18
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