نتایج جستجو برای: interval multiobjective programming
تعداد نتایج: 528728 فیلتر نتایج به سال:
In this paper, we will present a multitude of global semiparametric sufficient efficiency conditions under various generalized ( ,b,φ,ρ,θ)-univexity hypotheses for the following multiobjective fractional subset programming problem: (P) Minimize(F1(S)/G1(S),F2(S)/G2(S), . . . ,Fp(S)/Gp(S)) subject to Hj(S) 0, j ∈ q, S∈An, where An is the n-fold product of the σ-algebra A of subsets of a given se...
In this paper, we focus on multiobjective integer programming problems with random variable coefficients in objective functions and/or constraints. For such multiobjective problems, after reformulation of them on the basis of an expectation optimization model and a variance minimization model for the chance constrained programming, incorporating fuzzy goals of the decision maker for the objecti...
The purpose of this paper is to consider the Mond-Weir type dual model for a class of non-smooth multiobjective semi-infinite programming problem. In this work, we use generalization of convexity namely ( , ) G F θ − convexity and Kuhn-Tucker constraint qualification, to prove new duality results for such semi-infinite programming problem. Weak, strong and converse duality theorems are derived....
In this paper, we consider the multiobjective linear programs where coefficients in the objective function belong to uncertainty sets. We introduce the concept of robust efficient solutions to uncertain multiobjective linear programming problems. By using two scalarization methods, the weighted sum method and the ϵ-constraint method, we obtain that the robust efficient solutions for uncertain m...
This paper considers a capacitated vehicle routing problem with fuzzy random travel time and demand (FRVRP). A chance-constrained multiobjective programming is presented based on fuzzy random theory and converted to a crisp equivalent models under some assumptions. To solve such a multiobjective combinatorial optimization problem, this paper presents a hybrid multiobjective particle swarm optim...
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