nonlinear constrained optimization problem
Simple Optimization (SOPT) for Nonlinear Constrained Optimization Problem
... for constrained optimization having different characteristic are ...different optimization techniques such as League championship algorithm(LCA), Particle swarm optimization(PSO), Artificial ...
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Solving Nonlinear Constrained Optimization Time Delay Systems with a Direct Transcription Approach.
... Singular control problems have been studied extensively in the optimal control community [4, 34, 38, 39, 56, 83, 89, 90, 97, 107, 108]. Many of these papers employ a Hamiltonian approach in which the Hamiltonian matrices ...
198
Constrained Nonlinear Model Predictive Control of a Polymerization Process via Evolutionary Optimization
... online optimization but in the case of unconstrained linear plants, closed form solutions can be derived ...real-time) constrained optimization problem has to be solved in each sampling ...
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Numerical Solution for PDE Constrained Optimization Problem in Cardiac Electrophysiology
... The modified Dai-Yuan nonlinear conjugate gradient method is employed for computing the optimal applied current, and our numerical results show that the excitation wavefront is successfu[r] ...
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Framework for the buckling optimisation of variable-angle-tow composite plates
... an optimization framework that employs B-splines to define the spatial variation of lamination parameters (variable ...fully constrained inside the feasible region, provided that the lamination parameters ...
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A modified exact smooth penalty function for nonlinear constrained optimization
... optimization problem. It is tradi- tionally constructed to solve nonlinear programs by augmenting the objective function or a corresponding Lagrange function some penalty or barrier terms with ...
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A nonmonotone flexible filter method for nonlinear constrained optimization
... There are various methods for solving the inequality constrained nonlinear optimization problem (P). For example, sequential quadratic programming methods, trust region ap- proaches [], ...
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A new filter QP free method for the nonlinear inequality constrained optimization problem
... mixed nonlinear complemen- tarity problem ...equilibrium problem, the restructuring problems of electricity and gas markets, and so ...related nonlinear equations, which is a reformulation of ...
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Solving nonlinear optimization problems with bipolar fuzzy relational equation constraints
... associated optimization problem is of concern. The problem of minimizing a linear objective function subject to a system of max-T equations has been intensively investigated with respect to various ...
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A New Lagrangian Multiplier Method on Constrained Optimization
... the nonlinear inequality constrained optimization problem (NLP), there are many practical methods to solve it, such as augmented Lagrangian function method [1-6], Trust-region filter method ...
6
Primal dual interior point QP free algorithm for nonlinear constrained optimization
... iterate k, two SLEs are solved to yield a master search direction. Then a least squares problem (LSP) needs to be solved to avoid the so-called Maratos effect []. However, the SLEs solved in [] may become ...
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An over constrained optimization problem: The prolonged autonomy bike (pa bike)
... The Prolonged Autonomy e-bike o PA-bike is a e-bike that can use a traditional fuel to charge the battery during run or at rest. In this way it is possible to prolong the autonomy of the e-bike. A fuel cell with a ...
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An Advanced Ant Colony Algorithm for Constrained Multi objective Optimization Problem
... In today's scientific research and engineering field, decision makers need to consider more factors, deal with more complex problems, and it often involve the simultaneous optimization of several intrinsically ...
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Metaheuristic research: a comprehensive survey
... colony optimization (ACO) [30], and GA have been extensively applied by majority of ...based optimization (TLBO) [38], biogeography- based optimization (BBO) [39], and bacterial foraging ...
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Higher Order Weakly Generalized Adjacent Epiderivatives and Applications to Duality of Set Valued Optimization
... A new notion of higher-order weakly generalized adjacent epiderivative for a set-valued map is introduced. By virtue of the epiderivative and weak minimality, a higher-order Mond-Weir type dual problem and a ...
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Alienor Method for Nonlinear Multi Objective Optimization
... multiobjective nonlinear optimization ...the optimization problem are aggregated into a single one using weighted ...objective nonlinear optimization problem is solved ...
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An Optimization-Simulation Approach to Chance Constraint Programming
... programming problem with a number of random parameters in the set of ...the problem is the iterative optimization-simulation ...phases: optimization phase, which includes solving a ...
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Constraint modelling of food processing systems
... The aim in the production of foodstuffs is to process the product as efficiently as possible without compromising quality. In general, these goals are in conflict and a compromise is sought. This paper presents a ...
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Optimization of Unit Commitment Problem and Constrained Emission using Genetic Algorithm
... But each method exist some difficulties to treat mass constraints and the limitation for the objective function etc. So these methods can obtain only the local optimal solution. Genetic algorithms are global ...
5
The Method of Fundamental Solutions for Direct Cavity Problems in EIT
... mathematical problem, where the location of an obstacle within a region of interest is ...inverse problem using a nonlinear constrained min- imisation procedure that locates the position of an ...
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