Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
496773 | Applied Soft Computing | 2011 | 8 Pages |
Abstract
One important issue related to the implementation of cellular manufacturing systems (CMSs) is to decide whether to convert an existing job shop into a CMS comprehensively in a single run, or in stages incrementally by forming cells one after the other, taking the advantage of the experiences of implementation. This paper presents a new nonlinear programming model in a dynamic environment. Furthermore, a novel hybrid approach based on the genetic algorithm and artificial neural network is proposed to solve the presented model. From the computational analyses, the proposed algorithm is found much more efficient than the genetic algorithm and simulated annealing in generating optimal solutions.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
J. Rezaeian, N. Javadian, R. Tavakkoli-Moghaddam, F. Jolai,