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2012 International Conference on Computational Intelligence and Software Engineering (CiSE 2012)(E-BOOK)

Wuhan,China,2012-12-142012-12-162012

ISBN: 978-1-61896-036-8 Scientific Research Publishing

E-Book 275pp Pub. Date: December 2012

Category: Computer Science & Communications

Price: $100

Title: The AAIS-2S Optimization: An Efficient Adaptive Artificial Immune System with Two Swarms
Source: 2012 International Conference on Computational Intelligence and Software Engineering (CiSE 2012)(E-BOOK) (pp 5-8)
Author(s): Zhonghua Li, School of Infromation Science and Technology Sun Yat-sen University Guangzhou, China
Chunhui He, School of Infromation Science and Technology Sun Yat-sen University Guangzhou, China
Hong-Zhou Tan, School of Infromation Science and Technology Sun Yat-sen University Guangzhou, China
Abstract: This paper proposes an efficient adaptive artificial immune system with two swarms (AAIS-2S) for optimization. In the AAIS-2S, the candidate antibodies is separated into two swarms, i.e., elitist swarm (ES) and common swarm (CS). Antibodies in the ES experience self-learning while ones in the CS experience elitist-learning. And the adjustment of antibodies between the two swarms is achieved by a pre-designed dynamic swarm updating strategy. Some comparative numerical simulations are arranged to evaluate the performance of the proposed AAIS-2S. The simulation results demonstrate that the proposed AAIS-2S outperforms the canonical opt-aiNet and the IA-AIS in convergence speed and solution accuracy.
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