315412

Applications of Inverse Optimization for Convex Nonlinear Problems

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Last updated: 05 Jan 2025

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Abstract

The inverse nonlinear programming problems have wide applications in economics and industrial areas. For a given certain feasible point of nonlinear convex problem with linear constraints, the inverse optimization is to determine whether this point can be made optimal by adjusting the parameters value in the problem. Zhang and xu are introduced method to solve the inverse nonlinear convex problem is introduced for a case with change in the coefficient of the objective function only and two applies examles are presented

DOI

10.21608/esju.2016.315412

Keywords

Nonlinear programming problems, inverse optimization, convex separable programming problems

Volume

60

Article Issue

2

Related Issue

43236

Issue Date

2016-12-01

Receive Date

2016-08-31

Publish Date

2016-12-01

Page Start

72

Page End

81

Print ISSN

0542-1748

Online ISSN

2786-0086

Link

https://esju.journals.ekb.eg/article_315412.html

Detail API

https://esju.journals.ekb.eg/service?article_code=315412

Order

2

Type

Original Article

Type Code

1,914

Publication Type

Journal

Publication Title

The Egyptian Statistical Journal

Publication Link

https://esju.journals.ekb.eg/

MainTitle

Applications of Inverse Optimization for Convex Nonlinear Problems

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Article

Created At

28 Dec 2024