International Journal of Computational Intelligence Systems

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Volume 2, Issue 3, October 2009, Pages 248 - 255

A Hybrid Artificial Immune Optimization Method

Authors
X. Wang, X.Z. Gao, S. J. Ovaska
Corresponding Author
X. Wang
Received 29 December 2008, Accepted 7 July 2009, Available Online 1 October 2009.
DOI
10.2991/ijcis.2009.2.3.6How to use a DOI?
Abstract

This paper proposes a hybrid optimization method based on the fusion of the Simulated Annealing (SA) and Clonal Selection Algorithm (CSA), in which the SA is embedded in the CSA to enhance its search capability. The novel optimization algorithm is also employed to deal with several nonlinear benchmark functions as well as a practical engineering design problem. Simulation results demonstrate the remarkable advantages of our approach in achiev- ing the diverse optimal solutions and improved convergence speed.

Copyright
© 2009, 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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<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
2 - 3
Pages
248 - 255
Publication Date
2009/10/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2009.2.3.6How to use a DOI?
Copyright
© 2009, 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  - JOUR
AU  - X. Wang
AU  - X.Z. Gao
AU  - S. J. Ovaska
PY  - 2009
DA  - 2009/10/01
TI  - A Hybrid Artificial Immune Optimization Method
JO  - International Journal of Computational Intelligence Systems
SP  - 248
EP  - 255
VL  - 2
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2009.2.3.6
DO  - 10.2991/ijcis.2009.2.3.6
ID  - Wang2009
ER  -