Novel Genetic Bees Algorithm applied to single machine scheduling problem

M. Packianather, B. Yuce, E. Mastrocinque, F. Fruggiero, D. Pham, A. Lambiase
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引用次数: 24

Abstract

The proposed novel Genetic Bees Algorithm (GBA) is an enhancement to the swarm-based Bees Algorithm (BA). It is called the Genetic Bees Algorithm because it has genetic operators. The structure of the GBA compared to the basic BA has two extra components namely, a Reinforced Global Search and a Jumping Function. The main advantage of adding the genetic operators to BA is that it will help the algorithm to avoid getting stuck in local optima. In this study the scheduling problem of a single machine was considered. When the basic BA was applied to solve this problem its performance was affected by its weakness in conducting global search to explore the search space. However, in most cases the proposed GBA overcame this issue due to the two new components which have been introduced.
新型遗传蜜蜂算法在单机调度问题中的应用
提出的遗传蜜蜂算法(GBA)是对基于群体的蜜蜂算法(BA)的改进。它被称为遗传蜜蜂算法,因为它有遗传算子。与基本BA相比,GBA的结构有两个额外的组件,即增强的全局搜索和跳跃函数。在BA中加入遗传算子的主要优点是它可以帮助算法避免陷入局部最优。本文研究了单机调度问题。当应用基本BA来解决这一问题时,由于其不能进行全局搜索来探索搜索空间,从而影响了其性能。然而,在大多数情况下,由于引入了两个新组件,建议的GBA克服了这个问题。
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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