Title of article :
A fuzzy capacitated facility location-network design model: A hybrid re y and invasive weed optimization (FIWO) solution
Author/Authors :
Sadat Asl, A. A. Department of Industrial Engineering - Amirkabir University of Technology, Tehran, Iran , Fazel Zarandi, M. H. Department of Industrial Engineering - Amirkabir University of Technology, Tehran, Iran , Sotudian, S. Department of Industrial Engineering - Amirkabir University of Technology, Tehran, Iran , Amini, A. Department of Industrial Engineering - Amirkabir University of Technology, Tehran, Iran
Abstract :
Facility location-network design (FLND) problem, which determines the location of facilities and also communication
links between the demand and facility nodes, is arisen from the combination of the facility location and network design
problems. This paper deals with fuzzy capacitated facility location-network design model which aims to select the
facilities and candidate links in a way that yield to minimize the total costs, containing: costs of opening facilities, link
construction and transportation costs. In this study, several types of links have been considered for connecting two
nodes in which their capacity, transportation and construction costs are distinct. Besides, the possibility of multiple
link selection between two nodes and also the necessity of the existence of a facility in some nodes are considered. There
are also several types of facilities which the budget for each type is unique. Moreover, to open the facilities and to
construct the links, limited budgets are considered. As a result of the uncertainty in customers demand, an interactive
fuzzy solution approach is applied. Because this problem is classied as an NP-hard class, a hybrid meta-heuristic
algorithm based on Fire
y and Invasive Weed Optimization (FIWO) is developed. Finally, the behavior of the model
is tested, and the proposed algorithms performance is compared with some other solving methods
Keywords :
Facility location , network design , interactive fuzzy resolution , firefly and invasive weed optimization
Journal title :
Iranian Journal of Fuzzy Systems (IJFS)