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Hierarchical Combination of Deep Reinforcement Learning and Quadratic Programming for Distribution System Restoration

IEEE Transactions on Sustainable Energy, 2023
This paper proposes a model for hierarchical combination of deep reinforcement learning (DRL) with quadratic programming for distribution system restoration after major outages. In the proposed model, optimal power dispatch of a collection of distributed
M. Hosseini   +2 more
semanticscholar   +1 more source

Inverse Kinematics of Redundant Manipulators Formulated as Quadratic Programming Optimization Problem Solved Using Recurrent Neural Networks: A Review

Robotica (Cambridge. Print), 2019
SUMMARY The Inverse Kinematics (IK) problem of manipulators can be divided into two distinct steps: (1) Problem formulation, where the problem is developed into a form which can then be solved using various methods.
A. Hassan, M. El-Habrouk, S. Deghedie
semanticscholar   +1 more source

On the indefinite quadratic bilevel programming problem

OPSEARCH, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alemayehu, Getinet   +2 more
openaire   +1 more source

On the stability of solutions to quadratic programming problems

Mathematical Programming, 2001
The paper deals with a class of parametric optimization problems of minimizing a quadratic objective function (which, in general, is not convex) subject to a finite number of linear constraints. Here, the real parameter vector consists of the matrix of the objective function as well as of all linear coefficients describing the problem under ...
Hoang Xuan Phu, Nguyen Dong Yen
openaire   +3 more sources

Heuristic algorithms for the bipartite unconstrained 0-1 quadratic programming problem

arXiv.org, 2012
We study the Bipartite Unconstrained 0-1 Quadratic Programming Problem (BQP) which is a relaxation of the Unconstrained 0-1 Quadratic Programming Problem (QP).
Daniel Karapetyan, Abraham P. Punnen
semanticscholar   +1 more source

Quadratic Programming Problems

1999
In this chapter nonconvex quadratic programming test problems are considered. These test problems have a quadratic objective function and linear constraints. Quadratic programming has numerous applications (Pardalos and Rosen (1987), Floudas and Visweswaran (1995)) and plays an important role in many nonlinear programming methods.
Christodoulos A. Floudas   +8 more
openaire   +1 more source

A Method for Solving the Indefinite Quadratic Programming Problem

Management Science, 1970
A method is developed for obtaining a solution to the quadratic programming problem with an indefinite quadratic objective function. A search procedure using gradient projection is the core of the method. However at each step an alternate direction to gradient projection is proposed and two methods are given to continue after the revised gradient ...
R. K. Mueller
semanticscholar   +2 more sources

A class of continuous quadratic programming problems

Unternehmensforschung Operations Research - Recherche Opérationnelle, 1970
The present paper deals with some duality relations of a class of continuous quadratic programming problems. The analysis is developed by use of technique ofDorn for quadratic programming problems.
N. K. Gogia, R. P. Gupta
openaire   +3 more sources

A class of differential quadratic programming problems

Applied Mathematics and Computation, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xing Wang 0004   +2 more
openaire   +2 more sources

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