DocumentCode
479764
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
Volume
1
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
447
Lastpage
450
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.265
Filename
4721783
Link To Document