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
A projection method for lp norm location-allocation problems
Mathematical Programming: Series A and B
Fuzziness and randomness in an optimization framework
Fuzzy Sets and Systems
Swarm intelligence
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
Stochastic facility location with general long-run costs and convex short-run costs
Computers and Operations Research
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
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
Convergent results about the use of fuzzy simulation in fuzzy optimization problems
IEEE Transactions on Fuzzy Systems
Information Sciences: an International Journal
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The objective of this paper is to study facility location problems under a hybrid uncertain environment involving randomness and fuzziness. A two-stage fuzzy random facility location model with recourse is developed in which the demands and the costs are assumed to be fuzzy random variables. As in general the fuzzy random parameters in the model can be regarded as continuous fuzzy random variables with infinite realizations, the computation of the recourse requires solving infinite second-stage programming problems. Owing to this fact, the recourse function cannot be calculated analytically, which implies that the model cannot benefit from the use of methods of classical mathematical programming. In order to solve the location problems of this nature, we first develop techniques of fuzzy random simulation. In the sequel, by combining the fuzzy random simulation, simplex algorithm and binary particle swarm optimization (BPSO), a hybrid algorithm is proposed to solve the two-stage fuzzy random facility location model. Finally, an illustrative numerical example is provided.