Dynamic Integrated Algorithm for Production Scheduling Based on Iterative Search

Cunli Song, Xiaobing Liu, Wei Wang, Ming Huang
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引用次数: 6

Abstract

It is quite difficult to adapt to the changing production scheduling problem for an algorithm of a certain question. According to this, a strategy of dynamic integrated iterative search algorithm is proposed. Firstly, the relationship model of production problem and algorithm is built. Secondly, the framework of the iterative search algorithm is proposed. On the basis of these, the strategy of dynamic integrated iterative search algorithm based on multi agent is put forward, which can easily adapt to the changeable workshop production environment. The experimental results show the effectiveness and adaptability of the system.
基于迭代搜索的生产调度动态集成算法
针对某一特定问题的算法很难适应不断变化的生产调度问题。在此基础上,提出了一种动态集成迭代搜索策略。首先,建立了生产问题与算法的关系模型。其次,提出了迭代搜索算法的框架。在此基础上,提出了基于多智能体的动态集成迭代搜索算法策略,该策略能够很好地适应多变的车间生产环境。实验结果表明了该系统的有效性和适应性。
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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