D 2022

jSO and GWO Algorithms Optimize Together

POLÁKOVÁ, Radka and Daniel VALENTA

Basic information

Original name

jSO and GWO Algorithms Optimize Together

Authors

POLÁKOVÁ, Radka and Daniel VALENTA

Edition

3226. vyd. Slovensko, 22nd Conference Information Technologies - Applications and Theory, ITAT 2022, p. 159-166, 8 pp. 2022

Publisher

CEUR-WS

Other information

Language

English

Type of outcome

Proceedings paper

Country of publisher

Slovakia

Confidentiality degree

is not subject to a state or trade secret

Publication form

electronic version available online

References:

Marked to be transferred to RIV

No

Organization

Filozoficko-přírodovědecká fakulta – Slezská univerzita v Opavě – Repository

ISSN

EID Scopus

Keywords in English

Cooperation; GWO; jSO; Optimization; Optimization algorithms; Evolutionary algorithms
Changed: 3/1/2023 03:56, Bc. Ivana Glabazňová

Abstract

In the original language

This paper deals with global optimization. There are many algorithms for global optimization in the literature. In this text, we focus on two effective optimizers. The first one is an adaptive version of Differential evolution algorithm which was the most successful version of the algorithm on CEC 2014 congress and is called the jSO algorithm. The second one is the Grey wolf optimizer which was introduced in 2014. We propose new algorithm cooperation in which both of these algorithms are used together to get better results when optimization problems are being solved. In our attempt, both algorithms take turns making the optimization process. We tested the proposed algorithm on four multi-modal functions on two levels of dimension. The results are quite promising.

Files attached

https://is.slu.cz/publication/64531/Polakova-Valenta_jSO-and-GWO-Algorithms-Optimize-Together.pdf File version