constrained optimization problem
Numerical Solution for PDE Constrained Optimization Problem in Cardiac Electrophysiology
... Sudden cardiac death is an unexpected death of a person in a short time period, and is often attributed to cardiac arrhythmias. During an arrhythmia, the heart may beat too slowly, too rapidly, or irregularly. There are ...
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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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Finite Step Method for the Constrained Optimization Problem in Phase Contrast Microscopic Image Restoration
... the problem (2) is well known as an ill-posed ...ill-posed problem is to replace it with a well-posed problem by incorporating regularization terms into the least-squares ...
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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. In this way it is possible to use the bike where the traditional gas stations are available. It is sufficient to ...
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A posteriori error estimation for a PDE constrained optimization problem involving the generalized Oseen equations
... The outline of this paper is as follows. In section 2 we introduce some terminology used throughout this work. In section 3 we study the optimal control problem (1.2)– (1.4) and obtain the associated optimality ...
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A new filter QP free method for the nonlinear inequality constrained optimization problem
... smooth optimization problem with smooth inequality ...complementarity problem for the Karush–Kuhn–Tucker optimality ...complementarity problem in the filter, which makes the proposed algorithm ...
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A Constraints Scattered Memetic Algorithm for Constrained Optimization Problem
... engineering constrained optimization problems in the last several decades, it has the obvious drawbacks of dependence on initial feasible solutions and tendency to fall into local ...
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Power loss minimization using cat swarm optimization
... ,CSO optimization algorithm has been proposed ,developed and successfully applied to solve reactive power dispatch problem ...a constrained optimization problem where several objective ...
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A New Lagrangian Multiplier Method on Constrained Optimization
... 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 [7,8], QP-free feasible ...
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Constraint modelling of food processing systems
... genuine constrained optimization problem, where a minimum to the given objective function is sought under a set of general ...this problem is written ...
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What if the World Were Different? Gradient-Based Exploration for New Optimal Policies
... the problem of planning while considering these additional possible ...the problem of computing the configuration of the world that allows the most rewarding optimal policy can be formulated as a ...
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Solving nonlinear optimization problems with bipolar fuzzy relational equation constraints
... tions constrained optimization problem based on this alternative ...an optimization problem can be further re- duced to a - integer linear optimization problem when it ...
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Lecture17
... This method of expressing the conditions of a constrained optimization problem is known as the Lagrangian multiplier method.. Remark.[r] ...
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Search | Preprints
... optimization problem. In the sec- tion 4 we extend the previous results to constrained optimization problem by defining new concepts such as second-order KKT stationary point and ...
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Efficient Learning of Label Ranking by Soft Projections onto Polyhedra
... This problem was studied by several authors (Elisseeff and Weston, 2001; Crammer and Singer, 2002; Dekel et ...a constrained optimization problem with a separate slack variable for each edge ...
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Transliteration as Constrained Optimization
... tion - we allow every bi-gram to be mapped into an empty string. Viewed as a bipartite graph, we allow each node (with the exception of the empty string) to have only one connected edge. These constraints, given the ...
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Discriminative Nonnegative Spectral Clustering With Flexible Constrained
... 2-way constrained partitioning, with respect to the underlying discrete optimization problem, via a generalized Cheeger inequality (section ...
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An Efficient Random Algorithm for Box Constrained Weighted Maximin Dispersion Problem
... dispersion problem as a Qua- dratically constrained quadratic programming (QCQP), noting that (1) is a non-smooth, non-convex optimization problem, because the point-wise mini- mum of convex ...
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A Distributed Agent-based Decision Support for Cloud Brokering
... In this scenario, one of the main implications of multi-criteria decision support has been the loss of opti- mality. In fact, given the presence of heterogeneous objectives often in conflict with each other, a cost ...
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Smoothing approximation to the lower order exact penalty function for inequality constrained optimization
... In this paper, we proposed a method to smooth the lower order exact penalty function with k ∈ [ 1 2 , 1) for inequality constrained optimization. Furthermore, we proved that the algorithm based on the ...
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