constrained nonlinear programming problem
A modified exact smooth penalty function for nonlinear constrained optimization
... a constrained nonlinear programming problem by augmenting the dimension of the program with a variable that controls the weight of the penalty ...original constrained problem are ...
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An Augmented Lagrangian Algorithm for Engineering Optimization by Solving Nonlinear Programming Problem
... convert constrained optimization problem into unconstrained optimization problem so that a new problem of higher dimensions made the ALM for equality constraints neatly to the inequality ...
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A new filter QP free method for the nonlinear inequality constrained optimization problem
... programming (QP)-free infeasible method for minimizing a smooth function subject to some inequality constraints. This method is based on the solution of nonsmooth equa- tions which are obtained by the multiplier ...
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A SUPERLINEARLY CONVERGENT SEQUENTIAL QUADRATICALLY CONSTRAINED QUADRATIC PROGRAMMING ALGORITHM FOR DEGENERATE NONLINEAR PROGRAMMING MIHAI ANITESCU
... grams satisfying the Mangasarian-Fromovitz constraint qualication and the quadratic growth con- dition. This convergence result is obtained despite the potential lack of a locally convex augmented Lagrangian. The ...
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TOPSIS APPROACH TO CHANCE CONSTRAINED MULTI - OBJECTIVE MULTI- LEVEL QUADRATIC PROGRAMMING PROBLEM
... chance constrained multi – objective multi – level quadratic programming ...approximate nonlinear membership functions into equivalent linear membership ...
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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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Generalized Augmented Lagrangian Problem and Approximate Optimal Solutions in Nonlinear Programming
... mathematical programming problems do not have an optimal solu- tion, moreover sometimes we do not need to find an exact optimal solution due to the fact that it is often very hard to find an exact optimal solution ...
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Chance Constrained Linear Plus Linear Fractional Bi level Programming Problem
... goal programming approach to solve chance constrained linear plus linear fractional bi-level programming ...construct nonlinear membership functions based on deterministic system ...The ...
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Simple Optimization (SOPT) for Nonlinear Constrained Optimization Problem
... optimization problem selects n decision variables x 1 , x 2 ...or nonlinear. Most of the real world problems are nonlinear in ...a Nonlinear programming problem the objective ...
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Chance constraint problem having parameters as pareto random variables
... Chance constrained programming (CCP) has been used for modeling and analysis of risks in a number of application ...and nonlinear chance constraint programming problem using geometric ...
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An Exact Penalty Approach for Mixed Integer Nonlinear Programming Problems
... integer nonlinear programming (MINLP) problems by converting a general MINLP problem to a finite sequence of nonlinear programming (NLP) problems with only continuous ...
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Pseudospectral Optimal Control of Active Magnetic Bearing Systems
... challenging problem for control design, where the design requirement is to keep the rotor at the bearing centre in the presence of external ...AMB nonlinear dynamics, a nonlinear optimal controller ...
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Optimizing location, routing and inventory decisions in an integrated supply chain network under uncertainty
... the problem as a nonlinear integer-programming model and solved it by using a Lagrangian relaxation based solution ...the problem as a mixed integer nonlinear program and a presented a ...
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A stochastic model for project selection and scheduling problem
... stochastic programming. Therefore chance-constrained programming would be used to determine deterministic form of constraint (3), as equation (9), where σ i ...
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Intuitionistic Fuzzy Optimization of Truss Design: A Comparative Study
... The To solve the SOSOP (1), step 1 of 1 is used and we will get optimum solutions of two sub problem as A 1 and A 2 .After that according to step 2 we find upper and lower bound of membership function of ...
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On a Control Problem Containing Support Functions
... control problem containing support functions in the integrand of the objective of the functional as well as in the inequality constraint function is ...this problem, Fritz John and Ka- rush-Kuhn-Tucker type ...
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AC-Based Differential Evolution Algorithm for Dynamic Transmission Expansion Planning
... the nonlinear programming problems during the solution steps of the AC Load flow ...TEP problem by using a different method; it started with the solution of the DC model and then reinforcing the ...
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On Existence of Optimal Non destructive Controls for Ecosystem Exploitation Problem Applied to a Generalization of Leslie Model
... the problem of maximum permissible removal of individuals from structured populations, matrix models were used, when the transition to a next state is carried out using a matrix called the population projection ...
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Vol 6, No 7 (2015)
... Stochastic programming, as the name implies, is mathematical ...mixed-integer, nonlinear) programming but with a stochastic element present in the ...Stochastic programming therefore deals ...
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Applying queuing theory for a reliable integrated location –inventory problem under facility disruption risks
... control problem with lost sales in a facility that presents a single kind of service for ...proposed problem using a queuing system with limited waiting room and on- instantaneous replenishment ...
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