NDLI: Solving the Multi-Objective Facility Layout Problem Using Evolutionary Multi-Objective Optimization Algorithms

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Mohamed, A. Ismail Attia, H. Gomaa Ashraf, O. Nassef
Copyright Year	2006
Abstract	The multi-objective facility layout problem is defined in the literature as an extension of the famous quadratic assignment problem (QAP). Most previous mathematical models tried to combine both the quantitative and the qualitative objectives into a single objective by using weighting factors. This paper introduces a multi-objective mathematical model and solves it using the revised Strength Pareto Evolutionary Algorithm (SPEAII). The purpose of this paper is to find an efficient set of solutions “Pareto optimal set” which could be introduced to the decision maker to select the best alternative, while considering conflicting and noncommensurate objectives. A computer program is developed to define the mathematical model, code candidate solutions into genetic form, and use Evolutionary Multi-Objective Optimization algorithms (EMO) to find the efficient set of solutions. The problem model is built according to its customized data input. The suggested model and solution algorithms are applied to a wide set of different benchmark problems. Results showed the superiority of the suggested models and algorithms in terms of the quality of solution and objective space exploration.
Sponsorship	Manufacturing Engineering Division
Starting Page	547
Ending Page	555
Page Count	9
File Format	PDF
ISBN	0791847624
DOI	10.1115/MSEC2006-21067
e-ISBN	0791837868
Volume Number	Manufacturing Science and Engineering, Parts A and B
Conference Proceedings	ASME 2006 International Manufacturing Science and Engineering Conference
Language	English
Publisher Date	2006-10-08
Publisher Place	Ypsilanti, Michigan, USA
Access Restriction	Subscribed
Subject Keyword	Pareto optimization Plant layout Algorithms Evolutionary algorithms Computer software
Content Type	Text
Resource Type	Article

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