On Stability of Fuzzy Multi-Objective Constrained Optimization Problem Using a Trust-Region Algorithm
نویسنده
چکیده
In this paper, a fuzzy multi-objective constrained optimization problem (FMCOP) is converted to a single-objective constrained optimization problem with equality and inequality constraints (SCOP) by using α−level set of the fuzzy vector and weighting approach. A trust-region algorithm for solving problem (SCOP) is introduced to obtain α−pareto optimal solutions of problem (FMCOP). An εα−stability set for problem (FMCOP) which represent a range of α−pareto optimal solutions is obtained. A numerical example to clarify the proposed of the paper is introduced in the end.
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