Fine Tuning of Agent-Based Evolutionary Computing-Reference-Cited by-同舟云学术

Fine Tuning of Agent-Based Evolutionary Computing

Published:2018-12-31 Issue:2 Volume:9 Page:81-97
ISSN:2083-2567
Container-title:Journal of Artificial Intelligence and Soft Computing Research
language:en
Short-container-title:

Author:

Mizera Michal¹,Nowotarski Pawel¹,Byrski Aleksander¹,Kisiel-Dorohinicki Marek¹

Affiliation:

1. Department of Computer Science, Faculty of Computer Science, Electronics and Telecommunications , AGH University of Science and Technology , Al. Mickiewicza 30, 30-059 Krakow , Poland

Abstract

Abstract Evolutionary Multi-agent System introduced by late Krzysztof Cetnarowicz and developed further at the AGH University of Science and Technology became a reliable optimization system, both proven experimentally and theoretically. This paper follows a work of Byrski further testing and analyzing the efficacy of this metaheuristic based on popular, high-dimensional benchmark functions. The contents of this paper will be useful for anybody willing to apply this computing algorithm to continuous and not only optimization.

Publisher

Walter de Gruyter GmbH

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Hardware and Architecture,Modeling and Simulation,Information Systems

Link

https://www.sciendo.com/pdf/10.2478/jaiscr-2018-0026

Reference33 articles.

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