Details
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 52-53 |
Seitenumfang | 2 |
Fachzeitschrift | IEEE Computational Intelligence Magazine |
Jahrgang | 17 |
Ausgabenummer | 4 |
Publikationsstatus | Veröffentlicht - 1 Nov. 2022 |
Abstract
This paper aims to provide an introduction to genetic algorithms and their three main components, i.e., the representation of solutions and their modification through mutation and crossover operators. It has been specifically designed as introduction for newcomers to this exciting research area. This short paper represents a summary of the full paper found online in IEEE Xplore. The latter provides interactive components for a hands-on exploration of the covered material.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
- Artificial intelligence
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in: IEEE Computational Intelligence Magazine, Jahrgang 17, Nr. 4, 01.11.2022, S. 52-53.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Choosing Representation, Mutation, and Crossover in Genetic Algorithms
AU - Dockhorn, Alexander
AU - Lucas, Simon
PY - 2022/11/1
Y1 - 2022/11/1
N2 - This paper aims to provide an introduction to genetic algorithms and their three main components, i.e., the representation of solutions and their modification through mutation and crossover operators. It has been specifically designed as introduction for newcomers to this exciting research area. This short paper represents a summary of the full paper found online in IEEE Xplore. The latter provides interactive components for a hands-on exploration of the covered material.
AB - This paper aims to provide an introduction to genetic algorithms and their three main components, i.e., the representation of solutions and their modification through mutation and crossover operators. It has been specifically designed as introduction for newcomers to this exciting research area. This short paper represents a summary of the full paper found online in IEEE Xplore. The latter provides interactive components for a hands-on exploration of the covered material.
UR - http://www.scopus.com/inward/record.url?scp=85142308625&partnerID=8YFLogxK
U2 - 10.1109/MCI.2022.3199626
DO - 10.1109/MCI.2022.3199626
M3 - Article
AN - SCOPUS:85142308625
VL - 17
SP - 52
EP - 53
JO - IEEE Computational Intelligence Magazine
JF - IEEE Computational Intelligence Magazine
SN - 1556-603X
IS - 4
ER -