Meta-Heuristics: Theory and Applications
Meta-Heuristics: Theory and Applications
Local Search in Combinatorial Optimization
Local Search in Combinatorial Optimization
Genetic Algorithms
Theory and Practice of Uncertain Programming
Theory and Practice of Uncertain Programming
Location models for airline hubs behaving as M/D/c queues
Computers and Operations Research
Solving the uncapacitated hub location problem using genetic algorithms
Computers and Operations Research
Uncapacitated single and multiple allocation p-hub center problems
Computers and Operations Research
The stochastic p-hub center problem with service-level constraints
Computers and Operations Research
Soft-computing based heuristics for location on networks: The p-median problem
Applied Soft Computing
Stochastic p-hub center problem with discrete time distributions
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
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The p-hub center problem has extensive applications in various real-world fields such as transportation and telecommunication systems. This paper presents a new risk aversion p-hub center problem with fuzzy travel times, in which value-at-risk (VaR) criterion is adopted in the formulation of objection function. For trapezoidal and normal fuzzy travel times, we first turn the original VaR p-hub center problem into its equivalent parametric mixed-integer programming problem, then develop a hybrid algorithm by incorporating genetic algorithm and local search (GALS) to solve the parametric mixed-integer programming problem. In our designed GALS, the GA is used to perform global search, while LS strategy is applied to each generated individual (or chromosome) of the population. Finally, we conduct two sets of numerical experiments and discuss the experimental results obtained by general-purpose LINGO solver, standard GA and GALS. The computational results show that the GALS achieves the better performance than LINGO solver and standard GA.