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ABC

于 2021-04-19 发布
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说明:  人工蜂群算法是模仿蜜蜂行为提出的一种优化方法,是集群智能思想的一个具体应用,它的主要特点是不需要了解问题的特殊信息,只需要对问题进行优劣的比较,通过各人工蜂个体的局部寻优行为,最终在群体中使全局最优值突现出来,有着较快的收敛速度。为了解决多变量函数优化问题,Karaboga提出了人工蜂群算法ABC模型。(Artificial bee colony algorithm is a kind of optimization method which imitates the behavior of bees. It is a specific application of swarm intelligence. Its main feature is that it does not need to know the special information of the problem, only needs to compare the advantages and disadvantages of the problem. Through the local optimization behavior of each artificial bee individual, the global optimal value is finally highlighted in the group, and has a faster convergence speed. In order to solve the problem of multivariable function optimization, karaboga proposed the ABC model of artificial bee colony algorithm.)

文件列表:

ABC\ackley.m, 365 , 2009-09-01
ABC\calculateFitness.m, 182 , 2008-06-09
ABC\griewank.m, 202 , 2006-04-27
ABC\rastrigin.m, 578 , 2006-04-27
ABC\rosenbrock.m, 602 , 2006-04-27
ABC\runABC.m, 8911 , 2015-01-27
ABC\schwefel.m, 447 , 2006-04-27
ABC\Sphere.m, 73 , 2008-06-05
ABC, 0 , 2015-01-27

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