A Global Optimization Algorithm for Signomial Geometric Programming Problem
This paper presents a global optimization algorithm for solving the signomial geometric programming (SGP) problem. In the algorithm, by the straight forward algebraic manipulation of terms and by utilizing a transformation of variables, the initial nonconvex programming problem (SGP) is first conver...
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Format: | Article |
Language: | English |
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Wiley
2014-01-01
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Series: | Abstract and Applied Analysis |
Online Access: | http://dx.doi.org/10.1155/2014/163263 |
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author | Xue-Ping Hou Pei-Ping Shen Yong-Qiang Chen |
author_facet | Xue-Ping Hou Pei-Ping Shen Yong-Qiang Chen |
author_sort | Xue-Ping Hou |
collection | DOAJ |
description | This paper presents a global optimization algorithm for solving the signomial geometric programming (SGP) problem. In the algorithm, by the straight forward algebraic manipulation of terms and by utilizing a transformation of variables, the initial nonconvex programming problem (SGP) is first converted into an equivalent monotonic optimization problem and then is reduced to a sequence of linear programming problems, based on the linearizing technique. To improve the computational efficiency of the algorithm, two range reduction operations are combined in the branch and bound procedure. The proposed algorithm is convergent to the global minimum of the (SGP) by means of the subsequent solutions of a series of relaxation linear programming problems. And finally, the numerical results are reported to vindicate the feasibility and effectiveness of the proposed method. |
format | Article |
id | doaj-art-9e5cacc5e4d84500b4f1b2868faa994d |
institution | Kabale University |
issn | 1085-3375 1687-0409 |
language | English |
publishDate | 2014-01-01 |
publisher | Wiley |
record_format | Article |
series | Abstract and Applied Analysis |
spelling | doaj-art-9e5cacc5e4d84500b4f1b2868faa994d2025-02-03T01:30:51ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/163263163263A Global Optimization Algorithm for Signomial Geometric Programming ProblemXue-Ping Hou0Pei-Ping Shen1Yong-Qiang Chen2College of Mathematics and Information Science, Henan Normal University, Xinxiang 453007, 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 global optimization algorithm for solving the signomial geometric programming (SGP) problem. In the algorithm, by the straight forward algebraic manipulation of terms and by utilizing a transformation of variables, the initial nonconvex programming problem (SGP) is first converted into an equivalent monotonic optimization problem and then is reduced to a sequence of linear programming problems, based on the linearizing technique. To improve the computational efficiency of the algorithm, two range reduction operations are combined in the branch and bound procedure. The proposed algorithm is convergent to the global minimum of the (SGP) by means of the subsequent solutions of a series of relaxation linear programming problems. And finally, the numerical results are reported to vindicate the feasibility and effectiveness of the proposed method.http://dx.doi.org/10.1155/2014/163263 |
spellingShingle | Xue-Ping Hou Pei-Ping Shen Yong-Qiang Chen A Global Optimization Algorithm for Signomial Geometric Programming Problem Abstract and Applied Analysis |
title | A Global Optimization Algorithm for Signomial Geometric Programming Problem |
title_full | A Global Optimization Algorithm for Signomial Geometric Programming Problem |
title_fullStr | A Global Optimization Algorithm for Signomial Geometric Programming Problem |
title_full_unstemmed | A Global Optimization Algorithm for Signomial Geometric Programming Problem |
title_short | A Global Optimization Algorithm for Signomial Geometric Programming Problem |
title_sort | global optimization algorithm for signomial geometric programming problem |
url | http://dx.doi.org/10.1155/2014/163263 |
work_keys_str_mv | AT xuepinghou aglobaloptimizationalgorithmforsignomialgeometricprogrammingproblem AT peipingshen aglobaloptimizationalgorithmforsignomialgeometricprogrammingproblem AT yongqiangchen aglobaloptimizationalgorithmforsignomialgeometricprogrammingproblem AT xuepinghou globaloptimizationalgorithmforsignomialgeometricprogrammingproblem AT peipingshen globaloptimizationalgorithmforsignomialgeometricprogrammingproblem AT yongqiangchen globaloptimizationalgorithmforsignomialgeometricprogrammingproblem |