CQUniversity
Browse

File(s) not publicly available

On a general framework to study cooperative systems

chapter
posted on 2017-12-06, 00:00 authored by Victor Korotkikh
A collection of many systems that cooperatively solve an optimization problem is considered. The consideration aims to determine criteria such that systems as a whole show their best performance for the problem. A general framework based on a concept of structural complexity is proposed to determine the criteria. The main merit of this framework is that it allows to set up computational experiments revealing the criteria. In particular, the experiments give evidence to suggest that criteria of best performance are realized when the structural complexity cooperative systems equals the structural complexity the optimization problem. The results of the paper could give a new perspective in the developing of optimization methods based on cooperative systems.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Editor

Murphey R; Pardalos PM

Start Page

121

End Page

142

Number of Pages

22

ISBN-10

1402005490

Publisher

Kluwer

Place of Publication

Boston, London

Open Access

  • No

External Author Affiliations

Faculty of Informatics and Communication;

Era Eligible

  • No

Chapter Number

7

Number of Chapters

13

Parent Title

Cooperative control and optimization