Uncapacitated plant location-allocation problems with price sensitive stochastic demands
Computers and Operations Research
A dual-based procedure for stochastic facility location
Operations Research
Fuzzy multi-criteria facility location problem
Fuzzy Sets and Systems
Swarm intelligence
On minimum-risk problems in fuzzy random decision systems
Computers and Operations Research
Fuzzy facility location problem with preference of candidate sites
Fuzzy Sets and Systems
Modeling capacitated location-allocation problem with fuzzy demands
Computers and Industrial Engineering
Computers & Mathematics with Applications
Stochastic facility location with general long-run costs and convex short-run costs
Computers and Operations Research
Is there a need for fuzzy logic?
Information Sciences: an International Journal
Identifying core sets of discriminatory features using particle swarm optimization
Expert Systems with Applications: An International Journal
Fuzzy Systems Engineering: Toward Human-Centric Computing
Fuzzy Systems Engineering: Toward Human-Centric Computing
Toward a generalized theory of uncertainty (GTU)--an outline
Information Sciences: an International Journal
Fuzzy random facility location problems with recourse
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
IEEE Transactions on Evolutionary Computation
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
Information Sciences: an International Journal
Nonlinear mappings in problem solving and their PSO-based development
Information Sciences: an International Journal
Particle swarm optimization for determining fuzzy measures from data
Information Sciences: an International Journal
Self-adaptive learning based particle swarm optimization
Information Sciences: an International Journal
Information Sciences: an International Journal
Editorial: Special issue: Swarm intelligence and its applications
Information Sciences: an International Journal
Swine Influenza Models Based Optimization (SIMBO)
Applied Soft Computing
Information Sciences: an International Journal
Interactive random fuzzy two-level programming through possibility-based probability model
Information Sciences: an International Journal
A granulation of linguistic information in AHP decision-making problems
Information Fusion
Hi-index | 0.07 |
This paper studies a facility location model with fuzzy random parameters and its swarm intelligence approach. A Value-at-Risk (VaR) based fuzzy random facility location model (VaR-FRFLM) is built in which both the costs and demands are assumed to be fuzzy random variables, and the capacity of each facility is unfixed but a decision variable assuming continuous values. Under this setting, the VaR-FRFLM is inherently a two-stage mixed 0-1 integer fuzzy random programming problem, to which analytical nonlinear programming methods are not applicable. A hybrid modified particle swarm optimization (MPSO) approach is proposed to solve the VaR-FRFLM. In this hybrid mechanism, an approximation algorithm is utilized to compute the fuzzy random VaR objective, a continuous Nbest-Gbest-based PSO and a genotype-phenotype-based binary PSO vehicles are designed to deal with the continuous capacity decisions and the binary location decisions, respectively, and two mutation operators are incorporated into the PSO to further decrease the possibility of becoming trapped in the local optima. A numerical experiment illustrates the application of the proposed hybrid MPSO algorithm and lays out its robustness to the system parameter settings. The comparison shows that the hybrid MPSO exhibits better performance than that when hybrid regular continuous-binary PSO and genetic algorithm (GA) are used to solve the VaR-FRFLM.