Artificial immune algorithm based on Euclidean distance and king-crossover

Kongzhi yu Juece/Control and Decision

Volumn 20, Issue 2, 2005, Pages

  Zheng, Ri Rong ^a   Mao, Zong Yuan ^a   Luo, Xin Xian ^a  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Artificial immune algorithm; Euclidean distance; King crossover

Indexed keywords

COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; GENETIC ALGORITHMS; OPTIMIZATION;

ARTIFICIAL IMMUNE ALGORITHM (AIA); EUCLIDEAN DISTANCE; KING-CROSSOVER STRATEGY; MDKBAIA; SIMILAR ANTIBODY MATRIX;

EVOLUTIONARY ALGORITHMS;

EID: 15744377161     PISSN: 10010920     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (5)

1. Toyoo Fukuda, Kazuyuki Mori, Makoto Tsukiyama. Parallel search for multi-modal function optimization with diversity and learning of immune algorihtm [A]. Artificial Immune Systems and Their Applications [C]. Springer, 1998: 210-220.
2. Zheng R R, Mao Z Y, Luo X X. Analysis of the improved artificial immune algorithm [J]. Computer Engineering and Applications, 2003, 39(34): 35-37.
3. Digalakis J G, Margaritis K G. An experimental study of benchmarking functions for Genetic Algorithms [A]. 2000 IEEE Int Conf on Systems, Man and Cybernetics [C]. Nashville, 2000: 3810-3815.