quadratic programming based problem
Robust Mvdr Beamformer for Nulling Level Control via Multi-Parametric Quadratic Programming
... mismatch problem as well as control over the sidelobe ...method based on semidefinite programming is presented to widen nulls of adaptive antenna array ...optimization problem is formulated as ...
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A FORMAL DEFINITION OF METRICS FOR OBJECT ORIENTED DESIGN: MOOD METRICS
... this problem requires determining how many workers must be assigned to each of the planning periods of work time for an ...scheduling problem with day task constraints. This problem is naturally ...
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Minimizing Complementary Pivots in a Simplex Based Solution Method for a Quadratic Programming Problem
... Simplex-method: The simplex-method was proposed by George Dantzig in 1947 and it searches the boundary of the feasible solution for the optimal solution [7]. The main problem with this method is that it has an ...
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TOPSIS APPROACH TO CHANCE CONSTRAINED MULTI - OBJECTIVE MULTI- LEVEL QUADRATIC PROGRAMMING PROBLEM
... fuzzy programming to solve ...mathematical programming for ...goal programming (FGP) approach to solve MLPP and presented sensitive analysis on relaxation provided by the upper level decision ...
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A Solution Approach for Solving Fully Fuzzy Quadratic Programming Problems
... a Quadratic Programming problem. The classical Quadratic Programming problem is the problem of finding the minimum or maximum values of a quadratic function under ...
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Markov Chain methods for the Bipartite Boolean Quadratic Programming Problem
... Fig. 6 gives the relative frequency of usage of each component by each metaheuristic. Most of the components appear to be useful within at least one of the considered metaheuristic schemas; only MutX 4 is almost unused. ...
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Conic Reformulation of Some Quadratic Programming Problems with Applications.
... QCQP problem is NP-hard [105]. Therefore, such a problem cannot always be solved in polynomial-time unless P = ...QCQP problem, it is imperative to study its global optimality conditions and design ...
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A New Method Evaluating Credit Risk with ES Based LS SVM MK
... Another problem is that SVM has a high computational complexity because of the solving of large scale quadratic programming in parameter iterative learning ...
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Research on the Portfolio Optimization Model under Quantitative Constraint Based on Genetic Algorithm
... optimization problem under numeric constraint by genetic ...this problem, and in order to verify the reliability of this method, a function with quadratic programming in Matlab to calcu- late ...
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A Neural Network Model Based on Quadratic Programming to the Single-period and Multi-product Newsvendor Problem
... newsvendor problem now has been extended into complicated models to meet the commerce pattern’s growing ...a quadratic programming approach (QPA) to settle the single-period, multi-product and ...
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Quadratic Programming with Discrete Variables.
... the quadratic objective function is convex, was ...region problem, which is an important nonlinear optimization problem with many efficient algorithms available ...[20], based on which a ...
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A New Numerical Method for Solving the Stokes Problem Using Quadratic Programming
... To overcome this difficulty, stabilized finite element methods that circumvent the restrictive inf_sup condition have been developed for Stokes-like problems (see [4–6]). These residual-based methods represent one ...
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A Solution of Fuzzy Trilevel Quadratic Fractional Programming Problem through Interactive Fuzzy Goal Programming Approach
... multilevel programming problems are such as the decent method, the extreme point search, the solution-procedure based on Karush-Kuhn Tucker (KKT) conditions, and many ...linear programming was ...
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Some Properties of Interval Quadratic Programming Problem
... are based on the dual problem of IvQP (dual method for short), under the condition that the zero duality gap of a pair of primal and dual IvQP is ...dual problem is not required and thus the ...
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FGP approach to multi objective quadratic fractional programming problem
... objective quadratic fractional programming (MOQFP) problem involves optimization of several objective functions in the form of a ratio of numerator and denominator functions which involve both ...
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A Modified Simplex Method for Solving Linear-Quadratic and Linear Fractional Bi-Level Programming Problem
... bi-level programming problem (BLP) is a suitable method for solving the real and complex problems in applicable areas such as management, economics, policies and planning and so ...hard problem. The ...
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Prevention of Voltage Instability by Using FACTS Controllers in Power Systems: A Literature Survey
... sensitivity based methods such as a modal or eigen-value analysis, and index ...sensitivity based analysis approach has been addressed for the evaluation and interpretation of eigen-value sensitivity, in ...
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A Multi-Level Multi-Objective Quadratic Programming Problem with Fuzzy Parameters in Constraints
... non-linear programming fractional problem with linear or non-linear constraints, at the first phase the convex hull of its original set of constraints was found then the equivalent problem was ...
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Vol 11, No 6 (2020)
... bi-level programming (BLP) is that a first-level decision-maker (FLDM) — the chief — determines his priorities and/or decisions and then asks each hierarchical stage in the organization for their equilibrium, ...
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Some recent developments in nonlinear optimization algorithms
... Abstract . This article provides a condensed overview of some of the major today’s features (both classical or recently developed), used in the design and development of algorithms to solve nonlinear continuous ...
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