Title of article
Solving a location-allocation problem by a fuzzy self-adaptive NSGA-II
Author/Authors
Salehi, Hossein Industrial Engineering department - South branch of Azad University , Tavakkoli-Moghaddam, Reza School of Industrial Engineering - College of Engineering - University of Tehran , Taleizadeh, Ata Allah School of Industrial Engineering - College of Engineering - University of Tehran , Hafezalkotob, Ashkan Industrial Engineering department - South branch of Azad University
Pages
9
From page
18
To page
26
Abstract
This paper proposes a modified non-dominated sorting genetic algorithm (NSGA-II) for a bi-objective location-allocation model. The purpose is to define the best places and capacity of the distribution centers as well as to allocate consumers, in such a way that uncertain consumers demands are satisfied. The objectives of the mixed-integer non-linear programming (MINLP) model are to (1) minimize the total cost of the network and (2) maximize the utilization of distribution centers. To solve the problem, a fuzzy modified NSGA-II with local search is proposed. To illustrate the results, computational experiments are generated and solved. The experimental results demonstrate that the performance metrics of the fuzzy modified NSGA-II is better than the original NSGA-II.
Keywords
Location-allocation , fuzzy rule base , multi-objective evolutionary algorithm
Journal title
Astroparticle Physics
Serial Year
2019
Record number
2488131
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