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A solid transportation problem with fuzzy random costs and constraints

Author

Listed:
  • Pravash Kumar Giri
  • Manas Kumar Maiti
  • Manoranjan Maiti

Abstract

Three Fuzzy Random Solid Transportation Problems (FRSTPs) are proposed, where both fuzziness and randomness occur simultaneously in costs and times. Among the models, the first one is a multi-objective model minimising both fuzzy-random total cost and time and other two are fuzzy-random single objective ones with fuzzy-random/fuzzy constraint on time. The fuzzy-random models are transformed to deterministic multi-objective constrained problems following Nanda, S., Panda, G., Dash, J.K., (2008) 'A new methodology for crisp equivalent of fuzzy chance constrained programming problem', Fuzzy Optim. Decision Making, Vol. 7, pp.5974. Finally Pareto optimal decisions are derived using an elitist Multi-Objective Genetic Algorithm (MOGA) with cyclic crossover, two-point mutation and a refining operation.

Suggested Citation

  • Pravash Kumar Giri & Manas Kumar Maiti & Manoranjan Maiti, 2012. "A solid transportation problem with fuzzy random costs and constraints," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 4(6), pages 651-678.
  • Handle: RePEc:ids:ijmore:v:4:y:2012:i:6:p:651-678
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