Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)

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A Genetic Algorithm with Local Searching Strategy and its Application

Authors
Yingchun Liu, Aitao Zhao
Corresponding Author
Yingchun Liu
Available Online September 2012.
DOI
10.2991/emeit.2012.521How to use a DOI?
Keywords
genetic algorithm, Markovain chain, convergence
Abstract

A new genetic algorithm wit h local searching strategy is proposed in t his paper , which over comes the disadvantage of t he GA. It combines GA wit h BP algorithm. The global convergence of the new genetic algorithm is p roved by using Markovian chain theory. And the new GA proves that it is efficient to model in nonlinear system of oil fields.

Copyright
© 2012, 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/).

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Volume Title
Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
Series
Advances in Intelligent Systems Research
Publication Date
September 2012
ISBN
978-90-78677-60-4
ISSN
1951-6851
DOI
10.2991/emeit.2012.521How to use a DOI?
Copyright
© 2012, 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  - Yingchun Liu
AU  - Aitao Zhao
PY  - 2012/09
DA  - 2012/09
TI  - A Genetic Algorithm with Local Searching Strategy and its Application
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 2345
EP  - 2348
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.521
DO  - 10.2991/emeit.2012.521
ID  - Liu2012/09
ER  -