EconPapers    
Economics at your fingertips  
 

A Nonpenalty Neurodynamic Model for Complex-Variable Optimization

Bao Liu, Xuehui Mei, Haijun Jiang, Lijun Wu and Sundarapandian Vaidyanathan

Discrete Dynamics in Nature and Society, 2021, vol. 2021, 1-10

Abstract: In this paper, a complex-variable neural network model is obtained for solving complex-variable optimization problems described by differential inclusion. Based on the nonpenalty idea, the constructed algorithm does not need to design penalty parameters, that is, it is easier to be designed in practical applications. And some theorems for the convergence of the proposed model are given under suitable conditions. Finally, two numerical examples are shown to illustrate the correctness and effectiveness of the proposed optimization model.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/ddns/2021/6632257.pdf (application/pdf)
http://downloads.hindawi.com/journals/ddns/2021/6632257.xml (application/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:6632257

DOI: 10.1155/2021/6632257

Access Statistics for this article

More articles in Discrete Dynamics in Nature and Society from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().

 
Page updated 2025-03-19
Handle: RePEc:hin:jnddns:6632257