Finding Global Minima with a Filled Function Approach for Non-Smooth Global Optimization

A filled function approach is proposed for solving a non-smooth unconstrained global optimization problem. First, the definition of filled function in Zhang (2009) for smooth global optimization is extended to non-smooth case and a new one is put forwarded. Then, a novel filled function is proposed...

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Main Authors: Weixiang Wang, Youlin Shang, Ying Zhang
Format: Article
Language:English
Published: Wiley 2010-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2010/843609
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author Weixiang Wang
Youlin Shang
Ying Zhang
author_facet Weixiang Wang
Youlin Shang
Ying Zhang
author_sort Weixiang Wang
collection DOAJ
description A filled function approach is proposed for solving a non-smooth unconstrained global optimization problem. First, the definition of filled function in Zhang (2009) for smooth global optimization is extended to non-smooth case and a new one is put forwarded. Then, a novel filled function is proposed for non-smooth the global optimization and a corresponding non-smooth algorithm based on the filled function is designed. At last, a numerical test is made. The computational results demonstrate that the proposed approach is effcient and reliable.
format Article
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institution Kabale University
issn 1026-0226
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language English
publishDate 2010-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-b5d6c644f4814ca58411c711cc4342a62025-02-03T05:45:34ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2010-01-01201010.1155/2010/843609843609Finding Global Minima with a Filled Function Approach for Non-Smooth Global OptimizationWeixiang Wang0Youlin Shang1Ying Zhang2Department of Mathematics, Shanghai Second Polytechnic University, Shanghai 201209, ChinaDepartment of Mathematics, Henan University of Science and Technology, Luoyang 471003, ChinaDepartment of Mathematics, Zhejiang Normal University, Jinhua 321004, ChinaA filled function approach is proposed for solving a non-smooth unconstrained global optimization problem. First, the definition of filled function in Zhang (2009) for smooth global optimization is extended to non-smooth case and a new one is put forwarded. Then, a novel filled function is proposed for non-smooth the global optimization and a corresponding non-smooth algorithm based on the filled function is designed. At last, a numerical test is made. The computational results demonstrate that the proposed approach is effcient and reliable.http://dx.doi.org/10.1155/2010/843609
spellingShingle Weixiang Wang
Youlin Shang
Ying Zhang
Finding Global Minima with a Filled Function Approach for Non-Smooth Global Optimization
Discrete Dynamics in Nature and Society
title Finding Global Minima with a Filled Function Approach for Non-Smooth Global Optimization
title_full Finding Global Minima with a Filled Function Approach for Non-Smooth Global Optimization
title_fullStr Finding Global Minima with a Filled Function Approach for Non-Smooth Global Optimization
title_full_unstemmed Finding Global Minima with a Filled Function Approach for Non-Smooth Global Optimization
title_short Finding Global Minima with a Filled Function Approach for Non-Smooth Global Optimization
title_sort finding global minima with a filled function approach for non smooth global optimization
url http://dx.doi.org/10.1155/2010/843609
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