电磁元启发式算法在FSHs调度问题中的应用

K. Zerrouki, K. Belkadi, M. Benyettou
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引用次数: 0

摘要

启发式算法是一种处理复杂优化问题的近似方法。本文研究的主要目的是将一种先进的元启发式算法——电磁元启发式算法应用于混合流车间(FSHs)生产系统的调度和分配问题的改进和实现。电磁元启发式算法是一种新的优化方法,它的灵感来自于带电粒子上的库仑电磁定律(吸引和排斥)。对于这个元启发式,我们将首先介绍它的一般原理,它的主要算法,它最重要的主要特征和参数,比如它的应用范围。然后,我们将该方法应用于混合流车间(FSHs)生产系统的离散调度问题。在此基础上,比较了应用于同一FSHs问题的元启发式算法(遗传算法和粒子群优化方法)和混合元启发式算法(电磁元启发式EM)。最后给出了将该方法应用于FSHs的调度和分配两个问题的结果。
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Electromagnetism Metaheuristic Applied to the Problem of Scheduling in FSHs
The métaheuristic are approximate methods which deal with difficult optimization problems. Work that we present in this paper has primarily as an objective of presented the adaptation and the implementation of one of advanced metaheuristic which is the Electromagnetism Metaheuristic (EM) applied to the systems of production of the type Hybrid Flow Shop (FSHs) for the scheduling and the assignment problem. Electromagnetism Metaheuristic is a recent method of optimization which takes its inspiration in the electromagnetic law (attraction and repulsion) of Coulomb on the charged particles. For this metaheuristic, we will start by presenting his general principle, its principle algorithm, its most important main features and parameters like its scopes of application. We will propose then an adaptation of this method to the discrete case on the scheduling problems of the production systems of the type Hybrid Flow Shop (FSHs). We present then the comparison between the metaheuristics (Genetic Algorithms (GA) and Particle Swarm Optimization method (PSO)), and the hybrid metaheuristic (Electromagnetism Metaheuristic EM) applied to the same FSHs problem. Finally we will present the results obtained by this method (EM) applied to FSHs for the two problems: scheduling and assignment.
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