Title :
Immune-Endocrine Genetic Algorithm for Multi-user Detector Problem
Author :
Yan-Fei, Yin ; Yuan-Ping, Zhang
Author_Institution :
Sch. of Comput. & Commun., Lanzhou Univ. of Technol., Lanzhou
Abstract :
In this paper, combining the endocrine mechanism and immune genetic algorithm immune-endocrine genetic algorithm (IEGA) for multi-user detector problem is proposed. The convergence properties of the IEGA are studied. It is proved that the IEGA converge to global optimum with probability 1. Finally, the experimental results demonstrate that the IEGA is better than some existed algorithms.
Keywords :
code division multiple access; genetic algorithms; multiuser detection; CDMA system; code division multiple access; convergence properties; endocrine mechanism; immune-endocrine genetic algorithm; multiuser detector problem; Additive white noise; Computer science; Detectors; Endocrine system; Genetic algorithms; Matched filters; Multiaccess communication; Multiuser detection; Power system modeling; Software engineering; convergence properties; immune-endocrine genetic algorithm (IEGA); multi-user detector problem;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.265
