A Collaborative Neurodynamic Approach to Distributed Global Optimization-Reference-Cited by-同舟云学术

A Collaborative Neurodynamic Approach to Distributed Global Optimization

Published:2023-05 Issue:5 Volume:53 Page:3141-3151
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Xia Zicong¹^ORCID,Liu Yang²^ORCID,Wang Jun³^ORCID

Affiliation:

1. College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua, China

2. Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province and College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua, China

3. Department of Computer Science and the School of Data Science, City University of Hong Kong, Kowloon Tong, Hong Kong

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province of China

Research Grants Council of the Hong Kong Special Administrative Region of China through the General Research Fund

Jinhua Science and Technology Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221021/10102641/09963658.pdf?arnumber=9963658

Reference50 articles.

1. A Collective Neurodynamic System for Distributed Optimization with Applications in Model Predictive Control

2. A Collective Neurodynamic Approach to Distributed Constrained Optimization

3. Cooperative–Competitive Multiagent Systems for Distributed Minimax Optimization Subject to Bounded Constraints

4. A Neurodynamic Approach to Distributed Optimization With Globally Coupled Constraints

5. A Second-Order Multi-Agent Network for Bound-Constrained Distributed Optimization

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