该【粒子群算法 python 】是由【青山代下】上传分享,文档一共【4】页,该文档可以免费在线阅读,需要了解更多关于【粒子群算法 python 】的内容,可以使用淘豆网的站内搜索功能,选择自己适合的文档,以下文字是截取该文章内的部分文字,如需要获得完整电子版,请下载此文档到您的设备,方便您编辑和打印。粒子群算法python以下是一个简单的Python实现粒子群算法(PSO)的示例代码。pythonimportrandomclassParticle:def__init__(self,position,velocity):====float('inf')defupdate_velocity(self,global_best_position,w,c1,c2):r1=()r2=()inertia=w*=c1*r1*(-)social=c2*r2*(global_best_position-)=inertia+cognitive+socialdefupdate_position(self,bounds):+=(len()):[i]<bounds[i][0]:[i]=bounds[i][0][i]=-[i][i]>bounds[i][1]:[i]=bounds[i][1][i]=-[i]defevaluate_fitness(self,fitness_func):fitness=fitness_func()iffitness<:==fitnessdefpso(fitness_func,bounds,num_particles,max_iterations):global_best_position=Noneglobal_best_fitness=float('inf')particles=[Particle([(bounds[i][0],bounds[i][1])foriinrange(len(bounds))],[(-1,1)for_inrange(len(bounds))],)for_inrange(num_particles)]foriinrange(max_iterations):forpinparticles:(fitness_func)<global_best_fitness:global_best_fitness==:(global_best_position,,,)(bounds)returnglobal_best_position,global_best_fitness使用示例:pythondefrastrigin(x):returnsum([xi2-10*(2**xi)+10forxiinx])bounds=[(-,)]*10x,fx=pso(rastrigin,bounds,30,1000)参考文献:,J.,&Eberhart,R.(1995).,1942-.(2020).来自维基百科的自由知识.
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