不同影响函数下的文化算法收敛性研究
On the Convergence of Cultural Algorithm with Different Influence Functions
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摘要: 本文根据不同的信仰知识设计了三种影响函数.利用测试函数的仿真结果,分析了形势知识和规范知识各自在进化过程中的作用.形势知识能较好地指导种群走出局部收敛,规范知识能够加快进化的收敛速度.Abstract: In this paper,three influence functions are put forward according to different belief knowledge.With the simulation results of measure function,the effects of situational knowledge and normative knowledge in their respective evolution process are analyzed.Situational knowledge can guide the species out of local convergence in a better way,and normative knowledge can accelerate the speed of evolution.