COMPLEX METHOD OF SEEKING THE MAXIMUM OF NON-NEGATIVE FUNCTION OF TWO VARIABLES

The optimization problems of binary functions widely exist in many practical engineering problems,their global optimization methods have always been one of the hot research issues. A high effective method of global optimization to nonnegative binary functions was put forward basing on the maximum mo...

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Main Authors: ZHANG Jing, SHI WenPu
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2018-01-01
Series:Jixie qiangdu
Subjects:
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.01.020
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author ZHANG Jing
SHI WenPu
author_facet ZHANG Jing
SHI WenPu
author_sort ZHANG Jing
collection DOAJ
description The optimization problems of binary functions widely exist in many practical engineering problems,their global optimization methods have always been one of the hot research issues. A high effective method of global optimization to nonnegative binary functions was put forward basing on the maximum modulus theorem of the analytic function of complex function,this method can simplify the optimization problem of the object function on a two-dimension bounded area as an one-dimension global optimization problem,the theory basis for the optimization method was given,and three numerical examples were given to show the effectiveness of the method. On one hand,the conclusions obtained in this paper can be directly used to solve the optimization problem in which the analytic function theory could be used,on the other hand,it can be used to obtain the global optimization solutions of the two-dimension mathematical optimization problems in which the method could be used in a high precision and high effective manner.
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spelling doaj.art-2f84b36f16334d1db35e7987f05a7eaf2023-08-01T07:46:20ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692018-01-014011111630600907COMPLEX METHOD OF SEEKING THE MAXIMUM OF NON-NEGATIVE FUNCTION OF TWO VARIABLESZHANG JingSHI WenPuThe optimization problems of binary functions widely exist in many practical engineering problems,their global optimization methods have always been one of the hot research issues. A high effective method of global optimization to nonnegative binary functions was put forward basing on the maximum modulus theorem of the analytic function of complex function,this method can simplify the optimization problem of the object function on a two-dimension bounded area as an one-dimension global optimization problem,the theory basis for the optimization method was given,and three numerical examples were given to show the effectiveness of the method. On one hand,the conclusions obtained in this paper can be directly used to solve the optimization problem in which the analytic function theory could be used,on the other hand,it can be used to obtain the global optimization solutions of the two-dimension mathematical optimization problems in which the method could be used in a high precision and high effective manner.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.01.020Optimization of non-negative two-dimension function;Maximum;Complex function method;One-dimension optimization
spellingShingle ZHANG Jing
SHI WenPu
COMPLEX METHOD OF SEEKING THE MAXIMUM OF NON-NEGATIVE FUNCTION OF TWO VARIABLES
Jixie qiangdu
Optimization of non-negative two-dimension function;Maximum;Complex function method;One-dimension optimization
title COMPLEX METHOD OF SEEKING THE MAXIMUM OF NON-NEGATIVE FUNCTION OF TWO VARIABLES
title_full COMPLEX METHOD OF SEEKING THE MAXIMUM OF NON-NEGATIVE FUNCTION OF TWO VARIABLES
title_fullStr COMPLEX METHOD OF SEEKING THE MAXIMUM OF NON-NEGATIVE FUNCTION OF TWO VARIABLES
title_full_unstemmed COMPLEX METHOD OF SEEKING THE MAXIMUM OF NON-NEGATIVE FUNCTION OF TWO VARIABLES
title_short COMPLEX METHOD OF SEEKING THE MAXIMUM OF NON-NEGATIVE FUNCTION OF TWO VARIABLES
title_sort complex method of seeking the maximum of non negative function of two variables
topic Optimization of non-negative two-dimension function;Maximum;Complex function method;One-dimension optimization
url http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.01.020
work_keys_str_mv AT zhangjing complexmethodofseekingthemaximumofnonnegativefunctionoftwovariables
AT shiwenpu complexmethodofseekingthemaximumofnonnegativefunctionoftwovariables