Title: A novel hybrid fuzzy logic-genetic algorithm-data envelopment approach for simulation optimisation of pressure vessel design problems

Authors: A. Azadeh; M. Abdollahian; M. Hamedi; S.M. Asadzadeh

Addresses: Department of Industrial Engineering and Center of Excellence for Intelligent Based Experimental Mechanics, College of Engineering, University of Tehran, P.O. Box 11365-4563, Iran ' Department of Industrial and Management Systems Engineering, University of South Florida, Tampa 33620, Florida, USA ' Department of Industrial Engineering and Center of Excellence for Intelligent Based Experimental Mechanics, College of Engineering, University of Tehran, P.O. Box 11365-4563, Iran ' Department of Industrial Engineering and Center of Excellence for Intelligent Based Experimental Mechanics, College of Engineering, University of Tehran, P.O. Box 11365-4563, Iran

Abstract: In this paper, we propose a hybrid fuzzy logic-genetic algorithm for optimising a non-linear problem related to pressure vessel design. The fuzzy non-linear program that we obtain is solved using a Genetic Algorithm (GA), and a simulation was used for generating the initial population. The efficiency of some of the design optimisation algorithms are compared with the proposed approach of this study, based on the Data Envelopment Analysis (DEA). The results of the DEA reveal that the proposed method is superior. This is the first study that integrates GA and Fuzzy logic for optimising the pressure vessel design problems.

Keywords: fuzzy programming; GAs; genetic algorithms; simulation optimisation; pressure vessel design; nonlinear programming; DEA; data envelopment analysis; fuzzy logic; design optimisation.

DOI: 10.1504/IJMOR.2012.049940

International Journal of Mathematics in Operational Research, 2012 Vol.4 No.6, pp.703 - 724

Available online: 19 Oct 2012 *

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