International Journal of Computational Intelligence Systems

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

A Hybrid Artificial Immune Optimization Method

Authors
X. Wang, X.Z. Gao, S. J. Ovaska
Corresponding Author
X. Wang
Available Online 1 December 2009.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Journal
International Journal of Computational Intelligence Systems
Volume-Issue
2 - 3
Pages
248 - 255
Publication Date
2009/12
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2009.2.3.6How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - X. Wang
AU  - X.Z. Gao
AU  - S. J. Ovaska
PY  - 2009
DA  - 2009/12
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  - https://doi.org/10.2991/ijcis.2009.2.3.6
ID  - Wang2009
ER  -