Solving Fuzzy Optimization Problems: Flexible Approaches using Simulated Annealing
نویسندگان
چکیده
This paper discusses flexible approaches for fuzzy optimization problems. Specifically, it presents a new solving method for fuzzy optimization problems (FOP) when the variables coefficients and/or the constraints limits parameters are imprecise. The new method uses the simulated annealing algorithm as a resolution procedure because it is a well-suited algorithm for solving all forms of fuzziness found in fuzzy optimization problems. An example is given to illustrate the method.
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