A Novel Optimization Method for Nonconvex Quadratically Constrained Quadratic Programs

This paper presents a novel optimization method for effectively solving nonconvex quadratically constrained quadratic programs (NQCQP) problem. By applying a novel parametric linearizing approach, the initial NQCQP problem and its subproblems can be transformed into a sequence of parametric linear p...

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Main Authors: Hongwei Jiao, Yong-Qiang Chen, Wei-Xin Cheng
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2014/698489
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author Hongwei Jiao
Yong-Qiang Chen
Wei-Xin Cheng
author_facet Hongwei Jiao
Yong-Qiang Chen
Wei-Xin Cheng
author_sort Hongwei Jiao
collection DOAJ
description This paper presents a novel optimization method for effectively solving nonconvex quadratically constrained quadratic programs (NQCQP) problem. By applying a novel parametric linearizing approach, the initial NQCQP problem and its subproblems can be transformed into a sequence of parametric linear programs relaxation problems. To enhance the computational efficiency of the presented algorithm, a cutting down approach is combined in the branch and bound algorithm. By computing a series of parametric linear programs problems, the presented algorithm converges to the global optimum point of the NQCQP problem. At last, numerical experiments demonstrate the performance and computational superiority of the presented algorithm.
format Article
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institution Kabale University
issn 1085-3375
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language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series Abstract and Applied Analysis
spelling doaj-art-6efc48ce71014512a1d035d851f3c0c62025-02-03T05:55:18ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/698489698489A Novel Optimization Method for Nonconvex Quadratically Constrained Quadratic ProgramsHongwei Jiao0Yong-Qiang Chen1Wei-Xin Cheng2School of Mathematical Science, Henan Institute of Science and Technology, Xinxiang 453003, ChinaCollege of Mathematics and Information Science, Henan Normal University, Xinxiang 453007, ChinaCollege of Mathematics and Information Science, Henan Normal University, Xinxiang 453007, ChinaThis paper presents a novel optimization method for effectively solving nonconvex quadratically constrained quadratic programs (NQCQP) problem. By applying a novel parametric linearizing approach, the initial NQCQP problem and its subproblems can be transformed into a sequence of parametric linear programs relaxation problems. To enhance the computational efficiency of the presented algorithm, a cutting down approach is combined in the branch and bound algorithm. By computing a series of parametric linear programs problems, the presented algorithm converges to the global optimum point of the NQCQP problem. At last, numerical experiments demonstrate the performance and computational superiority of the presented algorithm.http://dx.doi.org/10.1155/2014/698489
spellingShingle Hongwei Jiao
Yong-Qiang Chen
Wei-Xin Cheng
A Novel Optimization Method for Nonconvex Quadratically Constrained Quadratic Programs
Abstract and Applied Analysis
title A Novel Optimization Method for Nonconvex Quadratically Constrained Quadratic Programs
title_full A Novel Optimization Method for Nonconvex Quadratically Constrained Quadratic Programs
title_fullStr A Novel Optimization Method for Nonconvex Quadratically Constrained Quadratic Programs
title_full_unstemmed A Novel Optimization Method for Nonconvex Quadratically Constrained Quadratic Programs
title_short A Novel Optimization Method for Nonconvex Quadratically Constrained Quadratic Programs
title_sort novel optimization method for nonconvex quadratically constrained quadratic programs
url http://dx.doi.org/10.1155/2014/698489
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