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Using Genetic Algorithms on Manufacturing Facilities Layout Problems

机译:使用遗传算法解决制造设施布局问题

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摘要

Traditionally, the objective of a manufacturing facility layout problem is to minimize the material handling cost of the manufacturing systems. Because of the combination of the facility layout problems, the genetic algorithms (GA) technique is the most promising approach for solving practical layout problems. Much of the previous work has been done for identical problems, where all departments are equal in area. In this paper, non-identical problems are dealt with. A new coding approach - the Comer Attachmer Structure (CAS) is introduced.
机译:传统上,制造设施布局问题的目的是最小化制造系统的材料处理成本。由于设施布局问题的结合,遗传算法(GA)技术是解决实际布局问题的最有前途的方法。以前的许多工作都是针对相同的问题完成的,所有部门的面积都相同。在本文中,解决了不相同的问题。引入了一种新的编码方法-Comer Attachmer Structure(CAS)。

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