I. Mahdavi, M. M. Paydar, M. Solimanpur and A. Heidarzadeh, “Genetic Algorithm Approach for Solving a Cell Formation Problem in Cellular Manufacturing,” Expert Systems with Applications, Vol. 36, No. 3, 2009, pp. 6598-6604.

has been cited by the following article:

• TITLE: Heuristic Approaches for Cell Formation in Cellular Manufacturing

  AUTHORS: Shahram Saeedi, Maghsud Solimanpur, Iraj Mahdavi, Nikbakhsh Javadian

  KEYWORDS: Cell Formation Problem, Ant Colony Optimization, Genetic Algorithm, Simulated Annealing, Sequence Data, Production Volume

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.3 No.7, July 23, 2010

  ABSTRACT: Cellular Manufacturing System (CMS) is an application of Group Technology (GT) that allows decomposing a manu-facturing system into subsystems. Grouping the machines and parts in a cellular manufacturing system, based on simi-larities is known as cell formation problem (CFP) which is an NP-hard problem. In this paper, a mathematical model is proposed for CFP and is solved using the Ant Colony Optimization (ACO), Genetic Algorithm (GA) and Simulated Annealing (SA) meta-heuristic methods and the results are compared. The computational results show that the GA method is more effective in solving the model.