用ILP求解器对工业制造问题建模:以生产分析为例

K. Bousmar, F. Monteiro, S. Dellagi, Z. Habbas, A. Dandache
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引用次数: 1

摘要

利用整数线性规划(ILP)方法求解工业制造问题,使我们更接近于命题公式的可满足性(SAT),这是一个众所周知的np完全问题。本文选择具有大量约束条件的生产商品系统作为研究对象,对其进行了分析和建模。我们这些研究的目的是在SAT公式中提出这个工业问题,因为在过去的几十年里,一种有前途的方法已经出现,通过使用FPGA架构有效地解决大尺寸实例。本文沿着后一个方向,提出了一种新颖的求解方法,即近似于SAT的整数线性规划方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling industrial manufacturing problem using ILP solver : Case of production analysis
This paper presents the industrial manufacturing problem, by using the ILP (Integer Linear Programming) method, which will help us to get closer to the SAT (SATisfiability) of propositional formula that is a well-known to be a NP-Complete problem. The chosen problem for this paper is the production merchandise system that has a lot of constraints, which were studied, analyzed and modeled in ILP. Our purpose for those researches is to present this industrial problem in a SAT formula, because in these last decades, a promising approach has emerged for solving efficiently large size instances by using FPGA architectures. This paper follows so this last direction and proposes a new and original way to solve them by using Integer Linear Programming, which is close to SAT.
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