Future paths for integer programming and links to artificial intelligence
Computers and Operations Research - Special issue: Applications of integer programming
Fuzzy programming approach to multiobjective solid transportation problem
Fuzzy Sets and Systems
Solving bicriteria solid transportation problem with fuzzy numbers by a genetic algorithm
ICC&IE '94 Proceedings of the 17th international conference on Computers and industrial engineering
Chance constrained programming with fuzzy parameters
Fuzzy Sets and Systems
Uncertain solid transportation problems
Fuzzy Sets and Systems
A note on chance constrained programming with fuzzy coefficients
Fuzzy Sets and Systems
Theory and Practice of Uncertain Programming
Theory and Practice of Uncertain Programming
Dependent-chance programming with fuzzy decisions
IEEE Transactions on Fuzzy Systems
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
Train timetable problem on a single-line railway with fuzzy passenger demand
IEEE Transactions on Fuzzy Systems
Railway freight transportation planning with mixed uncertainty of randomness and fuzziness
Applied Soft Computing
Entropy maximization model for the trip distribution problem with fuzzy and random parameters
Journal of Computational and Applied Mathematics
The multi-depot capacitated location-routing problem with fuzzy travel times
Expert Systems with Applications: An International Journal
Credibility-based fuzzy mathematical programming model for green logistics design under uncertainty
Computers and Industrial Engineering
Fractional Liu process with application to finance
Mathematical and Computer Modelling: An International Journal
Nonlinear fixed charge transportation problem by minimum cost flow-based genetic algorithm
Computers and Industrial Engineering
Fixed charge transportation problem with type-2 fuzzy variables
Information Sciences: an International Journal
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This paper mainly investigates the fixed charge solid transportation problem under fuzzy environment, in which the direct costs, the fixed charges, the supplies, the demands and the conveyance capacities are supposed to be fuzzy variables. As a result, several new models, i.e., expected value model, chance-constrained programming model and dependent-chance programming model, are constructed on the basis of credibility theory. After that, the crisp equivalences are also discussed for different models. In order to solve the models, hybrid intelligent algorithm is designed based on the fuzzy simulation technique and tabu search algorithm. Finally, two application results are given to show the applications of the models and algorithm.