Global Optimization for the Sum of Concave-Convex Ratios Problem

This paper presents a branch and bound algorithm for globally solving the sum of concave-convex ratios problem (P) over a compact convex set. Firstly, the problem (P) is converted to an equivalent problem (P1). Then, the initial nonconvex programming problem is reduced to a sequence of convex progra...

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Main Authors: XueGang Zhou, JiHui Yang
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/879739
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author XueGang Zhou
JiHui Yang
author_facet XueGang Zhou
JiHui Yang
author_sort XueGang Zhou
collection DOAJ
description This paper presents a branch and bound algorithm for globally solving the sum of concave-convex ratios problem (P) over a compact convex set. Firstly, the problem (P) is converted to an equivalent problem (P1). Then, the initial nonconvex programming problem is reduced to a sequence of convex programming problems by utilizing linearization technique. The proposed algorithm is convergent to a global optimal solution by means of the subsequent solutions of a series of convex programming problems. Some examples are given to illustrate the feasibility of the proposed algorithm.
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publishDate 2014-01-01
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series Journal of Applied Mathematics
spelling doaj-art-92672e28985344c3a268a824d4e358042025-08-20T02:09:55ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/879739879739Global Optimization for the Sum of Concave-Convex Ratios ProblemXueGang Zhou0JiHui Yang1School of Mathematics and Information Science, Key Laboratory of Mathematics and Interdisciplinary Sciences of Guangdong, Higher Education Institutes, Guangzhou University, Guangzhou, Guangdong 510006, ChinaCollege of Science, Shenyang Agricultural University, Shenyang, Liaoning 110866, ChinaThis paper presents a branch and bound algorithm for globally solving the sum of concave-convex ratios problem (P) over a compact convex set. Firstly, the problem (P) is converted to an equivalent problem (P1). Then, the initial nonconvex programming problem is reduced to a sequence of convex programming problems by utilizing linearization technique. The proposed algorithm is convergent to a global optimal solution by means of the subsequent solutions of a series of convex programming problems. Some examples are given to illustrate the feasibility of the proposed algorithm.http://dx.doi.org/10.1155/2014/879739
spellingShingle XueGang Zhou
JiHui Yang
Global Optimization for the Sum of Concave-Convex Ratios Problem
Journal of Applied Mathematics
title Global Optimization for the Sum of Concave-Convex Ratios Problem
title_full Global Optimization for the Sum of Concave-Convex Ratios Problem
title_fullStr Global Optimization for the Sum of Concave-Convex Ratios Problem
title_full_unstemmed Global Optimization for the Sum of Concave-Convex Ratios Problem
title_short Global Optimization for the Sum of Concave-Convex Ratios Problem
title_sort global optimization for the sum of concave convex ratios problem
url http://dx.doi.org/10.1155/2014/879739
work_keys_str_mv AT xuegangzhou globaloptimizationforthesumofconcaveconvexratiosproblem
AT jihuiyang globaloptimizationforthesumofconcaveconvexratiosproblem