Volume 2, Issue 3, December 2009, Pages 248 - 255
A Hybrid Artificial Immune Optimization Method
- X. Wang, X.Z. Gao, S. J. Ovaska
- Corresponding Author
- X. Wang
Available Online 1 December 2009.
- https://doi.org/10.2991/ijcis.2009.2.3.6How to use a DOI?
- 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.
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 -