Solving a fuzzy fixed charge solid transportation problem by two meta-heuristic algorithms

چکیده مقاله

This paper considers a fixed-charge transportation problem (FCTP).
In most real world application and problems, a homogeneous product is
carried from an origin to a destination using different transportation
modes (e.g., road, air, rail and water). This paper investigates a fixed
charge solid transportation problem (FCSTP) under a fuzzy
environment, in which the both direct and fixed costs are supposed to
be fuzzy numbers. To solve such a hard problem, two meta-heuristic
algorithms, namely imperialist competitive algorithm (ICA) and
simulated annealing (SA), are utilized. To tune up their parameters,
various problem sizes are generated at random and then a robust
calibration is applied to the parameters using the Taguchi method.
Then, computational results are presented and analyzed.

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