Proceedings of the 2013 Conference on Education Technology and Management Science (ICETMS 2013)

<Previous Article In Volume
Next Article In Volume>

An Improved Adaptive Genetic Algorithm

Authors
Xudong Song, Yunlong Xiao
Corresponding Author
Xudong Song
Available Online June 2013.
DOI
10.2991/icetms.2013.398How to use a DOI?
Keywords
Genetic adaptive algorithm; hybrid coding; elitist strategy
Abstract

In this paper, we proposed a new adaptive genetic algorithm based hybrid coding and elitist strategy. The high fitness individuals was used to perform decimal coding to improve the search rate based on original adaptive genetic algorithm, as well as the criteria of poor individuals about elitist strategy, rather than random replacement or replacing the worst individual. Experimental results show that this method is effective and reliable.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2013 Conference on Education Technology and Management Science (ICETMS 2013)
Series
Advances in Intelligent Systems Research
Publication Date
June 2013
ISBN
978-90786-77-72-7
ISSN
1951-6851
DOI
10.2991/icetms.2013.398How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Xudong Song
AU  - Yunlong Xiao
PY  - 2013/06
DA  - 2013/06
TI  - An Improved Adaptive Genetic Algorithm
BT  - Proceedings of the 2013 Conference on Education Technology and Management Science (ICETMS 2013)
PB  - Atlantis Press
SP  - 1484
EP  - 1487
SN  - 1951-6851
UR  - https://doi.org/10.2991/icetms.2013.398
DO  - 10.2991/icetms.2013.398
ID  - Song2013/06
ER  -