Evolutionary computation on multicriteria production process planning problem

G. Zhou, M. Gen
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引用次数: 22

Abstract

The production process planning (PPP) problem is abundant among manufacturing systems. In general the problem can be approached by network analysis or dynamic programming. It is difficult for traditional optimization techniques to cope with the multicriteria production process planning (mPPP) problem. In this paper, a new evolutionary computation (EC) approach is developed to deal with the PPP problems with both single or multiple objective criteria. The proposed EC approach adopts a new simple state permutation encoding and combines with the neighborhood search technique in mutation operation to improve the evolutionary process in finding the optimal solution of the PPP problems. The numerical analysis shows that the proposed EC is both effective and efficient for the PPP problems.
多准则生产工艺规划问题的进化计算
生产过程规划(PPP)问题在制造系统中十分普遍。一般来说,这个问题可以通过网络分析或动态规划来解决。传统的优化技术难以解决多准则生产过程规划问题。本文提出了一种新的进化计算方法,用于求解具有单目标准则和多目标准则的购买力平价问题。该方法采用了一种新的简单状态排列编码,并结合了突变操作中的邻域搜索技术,改进了寻找PPP问题最优解的进化过程。数值分析表明,该方法对于PPP问题是有效的。
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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