Details
| Original language | English |
|---|---|
| Pages (from-to) | 52-53 |
| Number of pages | 2 |
| Journal | IEEE Computational Intelligence Magazine |
| Volume | 17 |
| Issue number | 4 |
| Publication status | Published - 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 subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- Artificial Intelligence
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In: IEEE Computational Intelligence Magazine, Vol. 17, No. 4, 01.11.2022, p. 52-53.
Research output: Contribution to journal › Article › Research › 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 -