nonlinear programming problems
An Exact Penalty Approach for Mixed Integer Nonlinear Programming Problems
... In [7], the exact penalty approach was extended to nonlinear integer programming problems. In [3,8], sev- eral penalty functions were presented and the exactness of some of them were proved in [9]. ...
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Solving nonlinear programming problems with unbounded non convex constraint sets via a globally convergent algorithm
... 14. Feng, GC, Yu, B: Combined homotopy interior point method for nonlinear programming problems. In: Fujita, H, Yamaguti, M (eds.) Advances in Numerical Mathematics: Proceedings of the Second ...
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A Feedback Neural Network for Solving Nonlinear Programming Problems with Hybrid Constraints
... introduce nonlinear programming problem with bound constraints and its equivalent formulation is ...solving nonlinear programming problems with hybrid constraints is given in Section ...
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Comparative study of Optimization methods for Unconstrained Multivariable Nonlinear Programming Problems
... of nonlinear programming ...such problems by using MAPPLE. But we have preferred to solve these problems by OR methods as our present area of research is ...
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Methods And Solvers Used For Solving Mixed Integer Linear Programming And Mixed Nonlinear Programming Problems: A Review
... optimization problems that are available in the current scenario, necessitates the basic need for modelling the continuous variables and discrete variables using the Mixed Integer Linear Program (MILP) and Mixed ...
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A Novel Solution Approach using Linearization Technique for Nonlinear Programming Problems
... life problems is an im- portant issue in optimization ...Optimization problems can be classified according to the nature of the objective function and con- ...multi) nonlinear (or linear) inequality ...
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A Parametric Linearization Approach for Solving Zero One Nonlinear Programming Problems
... zero-one nonlinear programming (0-1 NP) problem which we call it Parametric Linearization Approach ...linear programming problems defined by ...
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Duality in nonlinear programming problems under fuzzy environment with exponential membership functions
... In this paper, we have established appropriate duality relations for a general nonlinear optimization problem under fuzzy environment, taking exponential membership functions and using the aspiration level ...
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Characterization of the stability set for non differentiable fuzzy parametric optimization problems
... for nonlinear programming ...linear programming problems with fuzzy ...multiobjective nonlinear programming problems with fuzzy ...multiobjective nonlinear ...
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A Modified Interactive Stability Algorithm for Solving Multi Objective NLP Problems with Fuzzy Parameters in Its Objective Functions
... multi-objective nonlinear programming problems with fuzzy parameters in its objective functions and these fuzzy parameters are characterized by fuzzy ...
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Global optimality conditions for nonconvex minimization problems with quadratic constraints
... for nonlinear programming problems with inequality quadratic constraints ...for nonlinear minimization problems with box constraints, and deduce necessary and suf- ficient optimality ...
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Non differentiable multiobjective mixed symmetric duality under generalized convexity
... The objective of this paper is to obtain a mixed symmetric dual model for a class of non-differentiable multiobjective nonlinear programming problems where each of the objective functions contains a ...
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Vol 6, No 12 (2015)
... parametric nonlinear programming problems are defined; one with parameters in the objective function and the other with parameters in the constraints, the two problems are said to be ...
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Numerical Solution of a Class of Nonlinear Optimal Control Problems Using Linearization and Discretization
... of nonlinear optimal control problems, containing a nonlinear system and linear functional, in three ...changes nonlinear system to an equivalent linear system, in the second phase, using ...
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A signed distance method for solving multi-objective transportation problems in fuzzy environment
... Linear Programming (FLP) problem to obtain a reasonable solution under consideration of the ambiguity of ...Linear Programming (MOLP) ...fuzzy programming approach for MOTP ...goal programming ...
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Nonlinear programming approach for optimal control problems
... Abstract—Optimal control problem, which is a dynamic optimization problem over a time horizon, is a practical problem in determining control and state trajectories to minimize a cost functional. The applications of this ...
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Transformation methods in nonlinear programming
... The importance of retaining the inverse Hessian estimates when solving (4.1) has been demonstrated by the results of Table 4.2. Algorithm 5.1, like the Murtagh- Sargent approach, must therefore preserve the distinction ...
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A Java Expression Evaluator for Nonlinear Programming
... solve Nonlinear Optimization Problems. For some of those problems it is not possible to determine the expression for its objective function and/or its constraints, they are the result of experimental ...
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Operations Research in Hospitality Industry
... Assignment problems: In the course of this research we observed that the use of operations research in the hospitality industry is minimal. Even at places where OR can easily be used to optimise tasks and increase ...
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Hydrogen Distribution in Refinery with Nonlinear Programming
... Abstract Growth of the world population, increasing demand for fossil fuel consumption and consequently increasing threat of global warming, has extended the need for production and use of clean fuels and normal hydrogen ...
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