Discrete cuckoo search algorithm for solving the cell formation problem

Bouchra Karoum, Y. Elbenani
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引用次数: 5

Abstract

The manufacturing cell formation problem is considered one of the first issues in the designing of cellular manufacturing systems, that attempts to construct a set of machine cells and their corresponding product families. The aim is to minimise the inter-cell movements of the products while maximising the machine utilisation. Recently developed cuckoo search algorithm is introduced in this paper to solve this kind of problems which is discrete in nature. The proposed method is combined with a local search mechanism in order to intensify the search and improve the quality of the solutions. In order to demonstrate the effectiveness of the proposed algorithm, a set of 35 benchmark problems is used; the results are then compared to different methods collected from the literature. The results demonstrate that the proposed algorithm is a very effective and performs well on all test problems since it can reach 32 out of 35 benchmark problems (91.43%). [Submitted 21 June 2017; Accepted 3 May 2018]
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离散布谷鸟搜索算法求解细胞形成问题
制造单元形成问题被认为是设计细胞制造系统的首要问题之一,它试图构建一组机器单元及其相应的产品族。目的是尽量减少产品的细胞间运动,同时最大限度地提高机器利用率。本文介绍了近年来发展起来的布谷鸟搜索算法来解决这类离散性问题。该方法与局部搜索机制相结合,增强了搜索强度,提高了解的质量。为了验证该算法的有效性,采用了一组35个基准问题;然后将结果与从文献中收集的不同方法进行比较。结果表明,该算法是一种非常有效的算法,在35个基准问题中,它可以达到32个(91.43%),在所有测试问题上都表现良好。[2017年6月21日提交;接受2018年5月3日]
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