An application of possibilistic programming to the fuzzy location–allocation problems
Source: The International Journal of Advanced Manufacturing Technology, Volume 53, Numbers 9-12, April 2011 , pp. 1239-1245(7)
Abstract:This paper considers location–allocation problem in the real uncertain world and develops a possibilistic non-linear programming model to deal with this problem. Fuzzy decision making in fuzzy environment concept is used to determine possibility distribution of location and allocation variables. To solve this model, a novel approach based on genetic algorithm structure is developed. As the proposed model includes both deterministic (location) and uncertain (allocation) parameters, the developed solution algorithm uses a hybrid chromosome structure. Also, to cover continuous nature of the problem and prevent GA from early convergence, a new crossover operator is introduced. Finally, performance of the developed algorithm is evaluated by an example.
Document Type: Research Article
Affiliations: 1: Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran, Email: email@example.com 2: Department of Industrial Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran, Email: firstname.lastname@example.org
Publication date: April 1, 2011