Title :
A Multi-objective Genetic Algorithm for Optimization of Cellular Manufacturing System
Author :
Kor, H. ; Iranmanesh, H. ; Haleh, H. ; Hatefi, S.M.
Author_Institution :
Coll. of Eng., Dept. of Ind. Eng., Univ. of Tehran, Tehran
Abstract :
Cellular manufacturing (CM) is an important application of group technology (GT) in which families of parts is produced in manufacturing cells or in a group of various machines. In this paper, a genetic algorithm approach is proposed for solving multi-objective cell formation problem. The objectives are the minimization of both total moves (intercell as well as intracell moves) and the cell load Variation. In this paper, authors used a SPEA-II method as well known and efficient standard evolutionary multi-objective optimization technique. This hybrid method presents the large set of non-dominance solutions for decision makers to making best solution. The efficiency of multi-objective GA-SPEA II is illustrated on a large-sized test problem taken from the literature.
Keywords :
cellular manufacturing; decision making; genetic algorithms; group technology; minimisation; SPEA-II method; cellular manufacturing system; decision making; group technology; minimization; multiobjective genetic algorithm; standard evolutionary multiobjective optimization technique; Cellular manufacturing; Computer aided manufacturing; Educational institutions; Genetic algorithms; Genetic engineering; Group technology; Industrial engineering; Load management; Mathematical model; Production; Cellular Manufacturing System; Genetic Algorithm; Multi-Objective; Pareto set; SPEA II.;
Conference_Titel :
Computer Engineering and Technology, 2009. ICCET '09. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3334-6
DOI :
10.1109/ICCET.2009.212
