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Nonlinear Programming Problem

Modified Gauss Elimination Technique for
 Separable Nonlinear Programming Problem

Modified Gauss Elimination Technique for Separable Nonlinear Programming Problem

... Separable programming deals with such nonlinear programming problem in which the objective function as well as constraints are ...Separable Nonlinear Programming Problem ...

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Compromise allocations of biobjective nonlinear programming problem under partial responses

Compromise allocations of biobjective nonlinear programming problem under partial responses

... The problem of finding optimum allocations is formulated as Bi-objective Nonlinear Programming Problem ...the problem is bi objective the optimum solution cannot be obtained because the ...

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A Refinement on the Earlier Technique for Nonlinear Programming Problem in Fuzzy Environment

A Refinement on the Earlier Technique for Nonlinear Programming Problem in Fuzzy Environment

... Fuzzy nonlinear programming problem (FNLPP) is useful in solving problems which are difficult, impossible to solve due to the imprecise, subjective nature of the problem formulation or have an ...

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An Augmented Lagrangian Algorithm for Engineering Optimization by Solving Nonlinear Programming Problem

An Augmented Lagrangian Algorithm for Engineering Optimization by Solving Nonlinear Programming Problem

... design problem following [7]. In the first section, the NLP problem (P) has many local minima in the feasible ...design problem to show the ability of the ...

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Vol 6, No 7 (2015)

Vol 6, No 7 (2015)

... the problem of bivariate stratified sampling in presence of partial ...the problem is formulated as a stochastic biobjective nonlinear programming problem where sampling variances are ...

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A fuzzy semi infinite optimization problem

A fuzzy semi infinite optimization problem

... a nonlinear programming problem with fuzzy parameters are established, and a fuzzy function is defined, with its differentiability, convexity, and some important properties being studied in []; the ...

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A modified exact smooth penalty function for nonlinear constrained optimization

A modified exact smooth penalty function for nonlinear constrained optimization

... constrained nonlinear programming problem by augmenting the dimension of the program with a variable that controls the weight of the penalty ...constrained problem are precisely the local ...

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Fritz John Duality in the Presence of Equality and Inequality Constraints

Fritz John Duality in the Presence of Equality and Inequality Constraints

... a nonlinear programming problem in the presence of equality and inequality constraints which represent many realistic situation, is formulated which uses Fritz John optimality conditions instead of ...

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Fuzzy Goal Programming Approach in Selective Maintenance Reliability Model

Fuzzy Goal Programming Approach in Selective Maintenance Reliability Model

... the problem of finding the optimum compromise allocation of maintenance components is formulated as multi-objective Nonlinear Programming Problem (MONLPP) and a Fuzzy goal programming ...

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On a Control Problem Containing Support Functions

On a Control Problem Containing Support Functions

... control problem with a support function in the integrand of the objective func- tional and each inequality constraint ...control problem are derived and Wolfe type duality is investigated under ...of ...

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Nonlinear Programming Algorithms for CAD Systems of Line Structure Routing

Nonlinear Programming Algorithms for CAD Systems of Line Structure Routing

... optimization problem with a few hundred variables and several thousands of constraints – ...This problem is necessary to solve many times with the refinement and detail parameters of the mathematical model ...

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Applying queuing theory for a reliable integrated location –inventory problem under facility disruption risks

Applying queuing theory for a reliable integrated location –inventory problem under facility disruption risks

... hard problem, they developed a hybrid algorithm including Variable Neighborhood Search and Tabu Search to solve their ...integer nonlinear programing model (MINLP) to integrate a facility location and ...

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AN MINLP APPROACH FOR OPTIMAL DG UNIT'S ALLOCATION IN RADIAL/MESH DISTRIBUTION SYSTEMS TAKE INTO ACCOUNT VOLTAGE STABILITY INDEX

AN MINLP APPROACH FOR OPTIMAL DG UNIT'S ALLOCATION IN RADIAL/MESH DISTRIBUTION SYSTEMS TAKE INTO ACCOUNT VOLTAGE STABILITY INDEX

... sizing problem is formulated as a security-constrained optimization problem considering the loading condition, generation penetration level and power ...

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Study on the Moment Change at Slab-Column Joints Due to Shear Wall’s Length Variations

Study on the Moment Change at Slab-Column Joints Due to Shear Wall’s Length Variations

... V. K. Rahman 1 et.alpresented the comparison of RCC and pre-stressed concrete flat slab. This work includes the designed estimates for RCC and pre-stressed concrete flat slabs of various spans. The aim of this work is to ...

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NBI-RPRGM for Multi-objective Optimization   Design of Bio-Processes

NBI-RPRGM for Multi-objective Optimization Design of Bio-Processes

... of nonlinear programming subproblems of multi objective optimization using the recent Normal Boundary Intersection (NBI), the objective and constraints functions are assumed to be ...

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Semilocal E preinvexity and its applications in nonlinear multiple objective fractional programming

Semilocal E preinvexity and its applications in nonlinear multiple objective fractional programming

... for nonlinear singleobjective or multiobjective optimization problems have been of much interest in the recent past, and many contri- butions have been made to this ...a nonlinear frac- tional multiple ...

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A literature review on Vehicle routing problems in a cross docking environment

A literature review on Vehicle routing problems in a cross docking environment

... routing problem is the minimization of transportation cost, other material handling costs, storage cost, cost of tardiness ...routing problem (VRP) tries to find out the best route for the vehicles to ...

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Global optimality conditions for nonconvex minimization problems with quadratic constraints

Global optimality conditions for nonconvex minimization problems with quadratic constraints

... In this paper, we study the global optimality conditions for general nonconvex mini- mization problems with inequality quadratic constraints, which can be viewed as a gener- alization of Jeyakumar et al. [] for a ...

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The solution of Nurse Scheduling Problem with Different Scheduling Models in Hospital using Linear and Nonlinear Programming

The solution of Nurse Scheduling Problem with Different Scheduling Models in Hospital using Linear and Nonlinear Programming

... [3] Mohsen Bayati,Erfan Kharazmi,Mehdi Javananbakht,Aboozar Sadegi,Masud Arefnejad,Sajad Vahedi,Firooz Esmaeilzadeh― Optimization the number of nurses in the emergency department using linear programming ...

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A New Multi-Objective Model for Dynamic Cell Formation Problem with Fuzzy Parameters

A New Multi-Objective Model for Dynamic Cell Formation Problem with Fuzzy Parameters

... mixed-integer programming model for a dynamic cell formation problem with fuzzy parameters, such as part demand and machine ...fuzzy programming approach to determine the optimal cell configuration ...

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