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» On the Convergence of Immune Algorithms
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FOCI
2007
IEEE
13 years 11 months ago
On the Convergence of Immune Algorithms
Immune Algorithms have been used widely and successfully in many computational intelligence areas including optimization. Given the large number of variants of each operator of thi...
Vincenzo Cutello, Giuseppe Nicosia, Mario Romeo, P...
EC
2008
175views ECommerce» more  EC 2008»
13 years 4 months ago
Multiobjective Immune Algorithm with Nondominated Neighbor-Based Selection
Nondominated Neighbor Immune Algorithm (NNIA) is proposed for multiobjective optimization by using a novel nondominated neighbor-based selection technique, an immune inspired oper...
Maoguo Gong, Licheng Jiao, Haifeng Du, Liefeng Bo
SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
13 years 11 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
GECCO
2005
Springer
163views Optimization» more  GECCO 2005»
13 years 10 months ago
An artificial immune system algorithm for CDMA multiuser detection over multi-path channels
Based on the Antibody Clonal Selection Theory of immunology, we put forward a novel clonal selection algorithm for multiuser detection in Code-division Multiple-access Systems. By...
Maoguo Gong, Ling Wang, Licheng Jiao, Haifeng Du
ICARIS
2005
Springer
13 years 10 months ago
Two Ways to Grow Tissue for Artificial Immune Systems
An immune system without tissue is like evolution without genes. Something very important is missing. Here we present the novel concept of tissue for artificial immune systems. Muc...
Peter J. Bentley, Julie Greensmith, Supiya Ujjin