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An Efficient Genetic Algorithm to Solve the Manufacturing Cell Formation Problem

机译:一种有效的遗传算法来解决制造细胞形成问题

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A fundamental stage in the design of manufacturing systems is the simultaneous formation of machine cells and families of parts. This problem has been addressed using a number of approaches, but genetic algorithms have had the most success. This paper presents an innovative integer genetic algorithm based on a partial definition of solutions together with a recursive fitness function based on Baldwin effect. The proposed algorithm was tested on a number of problems taken from the literature, and the comparative results are presented.
机译:制造系统设计中的一个基本阶段是同时形成机器单元和零件的家庭。使用许多方法已经解决了这个问题,但遗传算法已经取得了最大的成功。本文介绍了一种基于基于Baldwin效应的递归健身功能的部分定义的创新整数遗传算法。在从文献中取出的许多问题测试了所提出的算法,并提出了比较结果。

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