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Approach to the Shortest Path with Fuzzy Constraints by Simulated Annealing Algorithm

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2 Author(s)
Jie Su ; Sch. of Manage. Sci. & Eng., Central Univ. of Finance & Econ., Beijing, China ; Aihua Li

In supply-chain management, the constrained shortest path problem in a network has wide applications. In this paper, the optimality and algorithm of the shortest path with fuzzy constraints (noted as SPFC) is studied. Introducing the fuzzy objective weight of a path into the objective function, an integer fuzzy optimization model is established for the SPFC problem. Then a simulated annealing algorithm is given to solve the problem. And the numerical simulation of example demonstrates the feasibility and effectiveness of the approach.

Published in:

Intelligent Systems, 2009. GCIS '09. WRI Global Congress on  (Volume:1 )

Date of Conference:

19-21 May 2009