In this paper, we focus on a real size manpower allocation problem. It was modeled after a real world problem of distributing the salesmen force over the branches of a company. The problem includes multiple objectives...
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In this paper, we focus on a real size manpower allocation problem. It was modeled after a real world problem of distributing the salesmen force over the branches of a company. The problem includes multiple objectives and the number of salesmen at each branch is unspecified. Conventional integer programming approach and conventional metaheuristics seem to have problems with solving the large size version of this problem. The versatility of our proposed heuristics based on a modification of genetic annealing is exemplified through solving the real size manpower allocation problem. For comparison sake, several small sized versions were solved using our method, conventional integer programming approach, and some well known metaheuristics. (C) 1998 Elsevier Science B.V. All rights reserved.
An algorithm has been proposed which solves the transportation problem with fuzzy supply and demand values and the integrality condition imposed on the solution. This algorithm is exact and computationally effective, ...
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An algorithm has been proposed which solves the transportation problem with fuzzy supply and demand values and the integrality condition imposed on the solution. This algorithm is exact and computationally effective, although the problem is formulated in the general way, i.e. its fuzzy supply and demand values can differ from each other and be fuzzy numbers of any type. (C) 1998 Elsevier Science B.V. All rights reserved.
The purpose of optimal voltage/reactive power control is to minimize the real power loss and improve the voltage profile. However in practice the security and the number of control movement should be taken into accoun...
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ISBN:
(纸本)0780347544
The purpose of optimal voltage/reactive power control is to minimize the real power loss and improve the voltage profile. However in practice the security and the number of control movement should be taken into account. In this paper the formulation of the fuzzy multiple objective optimization problem with soft constraints is presented and the SLP algorithm is employed to solve the problem. The tests on the practical network demonstrate the efficiency and flexibility of the proposed approach.
To aim at the variables fuzzyness widely existing in the production planning system, the paper discusses the production planning fuzzy multi objective linear programming model with fuzzy variables, and turns it int...
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To aim at the variables fuzzyness widely existing in the production planning system, the paper discusses the production planning fuzzy multi objective linear programming model with fuzzy variables, and turns it into two level multi objective linear programming problem by applying a partial order method defining the order of fuzzy numbers. finally, the paper gives its solving method.
This paper deals with the stability of multiobjective nonlinear programming problems with fuzzy parameters in the objectives and constraints functions. These fuzzy parameters are characterized by fuzzy numbers. The ex...
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This paper deals with the stability of multiobjective nonlinear programming problems with fuzzy parameters in the objectives and constraints functions. These fuzzy parameters are characterized by fuzzy numbers. The existing results concerning the qualitative analysis of the notions (solvability set, stability sets of the first kind and of the second kind) in parametric nonlinear programming problems are reformulated to study the stability of multiobjective nonlinear programming problems under the concept of alpha-pareto optimality. An algorithm for obtaining any subset of the parametric space which has the same corresponding alpha-pareto optimal solution is also presented. An illustrative example is given to clarify the obtained results. (C) 1997 Elsevier Science B.V.
In this paper we investigate the stability of solution in fuzzy multiobjective linear programming with symmetrical triangular fuzzy numbers with respect to change of fuzzy parameters.
In this paper we investigate the stability of solution in fuzzy multiobjective linear programming with symmetrical triangular fuzzy numbers with respect to change of fuzzy parameters.
This paper deals with the stability of multiobjective nonlinear programming problems with ordinary and fuzzy parameters in the objective functions. These fuzzy parameters are characterized by fuzzy numbers. The existi...
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This paper deals with the stability of multiobjective nonlinear programming problems with ordinary and fuzzy parameters in the objective functions. These fuzzy parameters are characterized by fuzzy numbers. The existing results concerning the qualitative analysis of the notions (solvability set, stability sets of the first kind and of the second kind) in parametric nonlinear programming problems are reformulated to study the stability of multiobjective nonlinear programming problems under the concept of alpha-pareto optimality. An algorithm for obtaining any subset of the parametric space which has the same corresponding alpha-pareto optimal solution is also presented. An illustrative example is given to clarify the obtained results.
This paper deals with the stability of multiobjective nonlinear programming problems with fuzzy parameters in the constraint functions. These fuzzy parameters are characterized by fuzzy numbers. Qualitative and quanti...
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This paper deals with the stability of multiobjective nonlinear programming problems with fuzzy parameters in the constraint functions. These fuzzy parameters are characterized by fuzzy numbers. Qualitative and quantitative analysis of the basic notions like the set of feasible parameters, the solvability set, the stability sets of the first kind and of the second kind, will be reformulated under the concept of alpha-pareto optimality. An illustrative example is given to clarify the obtained results.
In this paper, we define a fuzzy imperative programming language (called L), powerful enough to express crisp and fuzzy algorithms. Its small instruction set is designed to enhance readability, and it is proved before...
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In this paper, we define a fuzzy imperative programming language (called L), powerful enough to express crisp and fuzzy algorithms. Its small instruction set is designed to enhance readability, and it is proved before that the class of functions that can be programmed in L is equivalent to the class of functions computed by a W-Turing machine and to the W-recursive functions. The language is defined by means of an attribute grammar, and we present some examples of programs and their execution. A compiler has been built for the language, whose features are briefly described.
All existing methods generate a set of nondominated solutions or construct a single compromise solution for the linear multiobjective transportation problem in which objectives are equally important. In this paper, an...
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All existing methods generate a set of nondominated solutions or construct a single compromise solution for the linear multiobjective transportation problem in which objectives are equally important. In this paper, an additive fuzzy programming model for the multiobjective transportation problem is presented. The method aggregates the membership functions of the objectives to construct the relevant decision function. Weights and priorities for nonequivalent objectives are also incorporated in the method. This model gives a nondominated solution which is nearer to the best compromise solution. A Fortran program has been developed based on simple and weighted additive algorithms. The method is illustrated with a numerical example.
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