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programming problems

Solving Bilevel Linear Multiobjective Programming Problems

Solving Bilevel Linear Multiobjective Programming Problems

... Bilevel programming problems occur in diverse applica- tions, such as transportation, economics, ecology, engi- neering and ...multiobjective problems: less than a dozen of paper in the literature ...

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On solving multi objective fractional linear programming problems

On solving multi objective fractional linear programming problems

... linear programming problem with fuzzy ...linear programming problems in crisp case and then solved the multi objective fractional linear programming problems in the fuzzy ...linear ...

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Quadratically Constrained Quadratic Programming Problems and Extensions.

Quadratically Constrained Quadratic Programming Problems and Extensions.

... For problems on complex numbers, one may refer to [1], [21] and ...al programming problems is ...polynomial programming problem is studied in ...

113

An Inexact Restoration Package for Bilevel Programming Problems

An Inexact Restoration Package for Bilevel Programming Problems

... The bilevel algorithm based on the inexact restoration method has appealing theoretical properties, in the sense that under certain hypotheses, convergence is assured [1]. This feature is a remarkably advantage over ...

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An Improved Decomposition Technique for Solving Integer Linear Programming Problems

An Improved Decomposition Technique for Solving Integer Linear Programming Problems

... Linear Programming Problems (LPPs) as well as Integer Linear Programming Problems ...easier problems, namely Master problem and Sub ...Mathematical Programming Language ...and ...

5

A Parametric Linearization Approach for Solving Zero One Nonlinear Programming Problems

A Parametric Linearization Approach for Solving Zero One Nonlinear Programming Problems

... integer programming problem have many applications in sciences and ...mization problems are reported in the literature. These are integer programming problems with nonlinear sepa- rable ...

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Fuzzy Goal Programming Procedure to Bilevel Multiobjective Linear Fractional Programming Problems

Fuzzy Goal Programming Procedure to Bilevel Multiobjective Linear Fractional Programming Problems

... goal programming FGP procedure for solving bilevel multiobjective linear fractional programming BL-MOLFP ...goal programming model to minimize the group regret of degree of satisfactions of both the ...

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Modification Goal Programming for Solving Multi-Objective De Novo Programming Problems

Modification Goal Programming for Solving Multi-Objective De Novo Programming Problems

... In this study, determining the target goals for each goal taking into account the decision variables of the ideal solution for other goals. This means that the goal to be obtained is not only the maximum ideal solution ...

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Study on Fuzzy Quadratic Programming Problems

Study on Fuzzy Quadratic Programming Problems

... quadratic programming, whose objective functions are fuzzy quadratic and constraint conditions are fuzzy linear, are ...quadratic programming are a special case of convex fuzzy programming, whose ...

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Modelling On Zoning Process Programming Problems

Modelling On Zoning Process Programming Problems

... nonlinear programming method of Wilson, Han and Powell with an augmented Lagrangian type line search function”, Numerische Mathematics, (1981) ...“Nonlinear programming, Theory and application” John Wiley ...

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Fully fuzzy linear programming with inequality constraints

Fully fuzzy linear programming with inequality constraints

... linear programming problems and proposed several approaches for solving these problems [3, 5, 9, 12, 4, 13, ...ear programming have studied in which not all parts of the problem were assumed ...

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A Modified Interactive Stability Algorithm for Solving Multi Objective NLP Problems with Fuzzy Parameters in Its Objective Functions

A Modified Interactive Stability Algorithm for Solving Multi Objective NLP Problems with Fuzzy Parameters in Its Objective Functions

... gramming problems with fuzzy parameters in the ...nonlinear programming and α -Pareto ...dom programming, Loganathan and Sherali [7] presented an interactive cutting plane algorithm for determining a ...

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Linear fractional programming for
fuzzy random based possibilistic programming problem

Linear fractional programming for fuzzy random based possibilistic programming problem

... mathematical programming that reflect the ...linear programming, possibility theory can be used whereby imprecise parameters consisted in the problem formulation ...mathematical programming ...

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A Modified Simplex Method for Solving Linear-Quadratic and Linear Fractional Bi-Level Programming Problem

A Modified Simplex Method for Solving Linear-Quadratic and Linear Fractional Bi-Level Programming Problem

... Penalty functions transform a constrained problem into a single unconstrained problem or into a sequence of unconstrained problems. In this method the constraints are replaced into the objective function via a ...

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TOPSIS Based Algorithm for Solving Multi-objective Multi-level Programming Problem with Fuzzy Parameters

TOPSIS Based Algorithm for Solving Multi-objective Multi-level Programming Problem with Fuzzy Parameters

... Solving multi-level multi-objective linear programming problems through fuzzy goal. 680[r] ...

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Operations Research in Hospitality Industry

Operations Research in Hospitality Industry

... assignment problems, transportation problems, linear programming problems and replacement theory are generally used for benefits of various service ...

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Duality without constraint qualification in nonsmooth optimization

Duality without constraint qualification in nonsmooth optimization

... dual problems for the scalar-valued programming prob- lems where the usual convexity requirement for duality was relaxed and a constraint qual- ification was not ...dual problems for a convex ...

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USING LINEAR PROGRAMMING IN SOLVING THE PROBLEM OF SERVICES COMPANY’S COSTS

USING LINEAR PROGRAMMING IN SOLVING THE PROBLEM OF SERVICES COMPANY’S COSTS

... linear programming. Because solving by linear programming method, the objective function can be written as a linear equation and limitations are ...linear programming problems in ...

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Fuzzy Random Linear Optimization under Possibilistic Downside Risk Measures: Minimization of Possibilistic Low Partial Moment

Fuzzy Random Linear Optimization under Possibilistic Downside Risk Measures: Minimization of Possibilistic Low Partial Moment

... (linear programming) problems with discrete fuzzy random ...optimization problems, which can be solved by semidefinite programming relaxation under some ...making problems which can be ...

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Convex programming for detection in structured communication problems

Convex programming for detection in structured communication problems

... In this Sect. we consider the reduction of the computational complexity of the GMMSE detector by taking the structures of the underlying detection problems into account. In the first case the Toeplitz structure of ...

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