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Solution to the constrained optimization with N inspections

Numerical Solution for PDE Constrained Optimization Problem in Cardiac Electrophysiology

Numerical Solution for PDE Constrained Optimization Problem in Cardiac Electrophysiology

... Universiti Teknologi Malaysia 81310 Johor Bahru, Malaysia ABSTRACT In this paper, we present the numerical solution for the PDE- constrained optimization problem arises in cardiac electrophysiology. ...

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On Block Triangular Preconditioners for the Interior Point Solution of PDE-Constrained Optimization Problems

On Block Triangular Preconditioners for the Interior Point Solution of PDE-Constrained Optimization Problems

... numerical solution of saddle point systems of equa- tions resulting from the discretization of PDE-constrained optimization problems, with additional bound constraints on the state and control ...

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Fast interior point solution of quadratic programming problems arising from PDE-constrained optimization

Fast interior point solution of quadratic programming problems arising from PDE-constrained optimization

... PDE-CONSTRAINED OPTIMIZATION JOHN ...PDE-constrained optimization problems with bound constraints on the state and control variables, and their representation on the discrete level as ...

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Transliteration as Constrained Optimization

Transliteration as Constrained Optimization

... From the transliteration perspective, our key con- tribution is in deriving and showing the significance of a good representation for a pair of NEs. Our representation captures both phonetic similarity and distinctive ...

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A Multigrid Method for the Efficient Numerical Solution of Optimization Problems Constrained by Partial Differential Equations

A Multigrid Method for the Efficient Numerical Solution of Optimization Problems Constrained by Partial Differential Equations

... of optimization problems: direct factorization, iterative solution and reduced SQP ...PDE constrained optimization (but not limited to such problems) are reduced SQP-methods, which are ...

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Tree Physiology Optimization in Constrained Optimization Problem

Tree Physiology Optimization in Constrained Optimization Problem

... of solution in TPO search is ...dispersed solution in the beginning of iteration, but then able to exploit the global optimum after some iteration ...

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Cardinality Constrained Optimization Problems

Cardinality Constrained Optimization Problems

... cardinality constrained optimiza- tion ...feasible solution of the linear ...feasible solution and imposing that the corresponding basic variables are ...

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Greedy Sparsity-Constrained Optimization

Greedy Sparsity-Constrained Optimization

... needs n = O(s) measurements to estimate x ⋆ , but n = O(s log p s ) measurements are necessary for the accuracy of (2) to be ...convex optimization methods are developed and analyzed as more ...

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Lifecycle-based Swarm Optimization Method for Constrained Optimization

Lifecycle-based Swarm Optimization Method for Constrained Optimization

... Swarm Optimization (LSO) ...six optimization operators: chemotactic, assimilation, transposition, crossover, selection and ...address constrained optimization problem was ...better ...

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Decomposition-Based Multiobjective Optimization for Constrained Evolutionary Optimization

Decomposition-Based Multiobjective Optimization for Constrained Evolutionary Optimization

... Watanabe and Sakakibara [ 44 ] presented two methods to trans- form a COP into an MOP: the first one considers a penalty function as an additional objective function and the second one adds noise to the original ...

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Simple Optimization (SOPT) for Nonlinear Constrained Optimization Problem

Simple Optimization (SOPT) for Nonlinear Constrained Optimization Problem

... Meta-heuristic algorithm is an iterative generation process it utilizes the concept of exploring and exploiting the search space efficiently in order to find near optimal solution. Here starting with a feasible ...

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Constrained Optimization: The Method of Lagrange Multipliers:

Constrained Optimization: The Method of Lagrange Multipliers:

... There is also an algebraic approach to finding the optimal solution given a certain constraint. We will use the method of Lagrange Multipliers to find the maximum situation in the problem above. In the proceeding ...

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Chance constraints in PDE constrained optimization

Chance constraints in PDE constrained optimization

... PDE constrained optimization problems could be demonstrated to be a good candidate for ensuring these properties and, in particular, for deriving the existence of solutions and their stable dependence on ...

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Polyhedral function constrained optimization problems

Polyhedral function constrained optimization problems

... |r| ε =  |r| − ε , |r| ≥ ε , 0, |r| < ε . These problems exhibit explicit dependence on a parameter (either κ or λ). This provides a mechanism for developing homotopy methods to completely describe the ...

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Interior-point methods for PDE-constrained optimization

Interior-point methods for PDE-constrained optimization

... exact solution of the Newton system, both Trust-region and line search methods inherit the fast local quadratic convergence from Newton’s ...each optimization step knowledge about the gradients change in ...

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A New Lagrangian Multiplier Method on Constrained Optimization

A New Lagrangian Multiplier Method on Constrained Optimization

... equality constrained and inequality ...a solution of the original constrained problem and corresponding values of Lagrange multipliers can be found by solving an uncon- strained minimization of the ...

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Differential evolution algorithms for constrained global optimization

Differential evolution algorithms for constrained global optimization

... the filter based DEC, FDEC, showing a slight dominance over the other proposed algorithms. We compared the results of the new algorithms with those of GA. Results have shown that, on average, GA is worse than even the ...

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Constrained optimization in human running

Constrained optimization in human running

... via constrained optimization of metabolic cost for both walking and running indicates that the control of these two gaits might be quite ...that constrained optimization might even be capable ...

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A Solution to the N-Queens Problem Using Biogeography-Based Optimization

A Solution to the N-Queens Problem Using Biogeography-Based Optimization

... Islands with a high HSI have a low immigration rate because they already host many other species and cannot receive new members. Islands with a low HSI have a high immigration rate because of their low populations. ...

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Optimal Solution in a Constrained Distribution System

Optimal Solution in a Constrained Distribution System

... optimal solution for a constrained distribution system with several items and ...a solution is obtained by taking advantage of its special ...optimal solution of the original ...optimal ...

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