An Artificial Bee Colony Optimization Algorithm Guided by Complex Method

Deng-xu He, Rui-min Jia, Shaotang Shi
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引用次数: 1

Abstract

Artificial Bee Colony Algorithm (ABC) got larger objective function value at the beginning of iteration and easily fell into local optimum at the end of iteration. in view of this, the article proposed an improved Artificial Bee Colony algorithm guided by complex method. the results of function test and example test showed that the improved Algorithm overcome the flaw of ABC in a certain extent.
一种基于复杂方法的人工蜂群优化算法
人工蜂群算法在迭代开始时目标函数值较大,迭代结束时容易陷入局部最优。鉴于此,本文提出了一种基于复杂方法的改进人工蜂群算法。功能测试和实例测试结果表明,改进算法在一定程度上克服了ABC算法的缺陷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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