Abstract: Based on the analysis of the shortcomings of the artificial fish swarm algorithm, an impro
2016-08-22
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Abstract: In analyzing the deficiencies of artificial fish-swarm algorithm based on improved artificial fish-swarm algorithm, an improved artificial fish-swarm algorithm. The algorithm improve the global search ability and convergence speed, and used to solve the border with variables constrained nonlinear optimization problem of complex functions. The simulation results show that the improved artificial fish-swarm algorithm with high precision, fast search, etc., is a complex function for solving global optimization of the intelligent algorithm.
摘要
分析
鱼群
算法
不足
基础
加以
改进
提出
搜索
能力
速度
用于
求解
具有
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