Title :
Multi-objective Optimization of Cognitive Radio in Clonal Selection Quantum Genetic Algorithm
Author :
Wang, Huan ; Guo, Lili
Author_Institution :
Inf. & Commun. Eng. Coll., Harbin Eng. Univ., Harbin, China
Abstract :
In this paper, the authors make optimization to multi-objective function of cognitive radio with the help of quantum genetic algorithm(QGA) based on clonal selection. And a clonal selection quantum (CSQ) has been put forward by quantum genetic algorithm and immune clonal selection, and the algorithm have been improved. It produces encouraging results when we apply the algorithm to the function optimization of cognitive radio with the introduction of simulation in the dynamic parameter set-up.
Keywords :
cognitive radio; genetic algorithms; cognitive radio; immune clonal selection; multi-objective optimization; quantum genetic algorithm; Automation; Biological cells; Bit error rate; Chromium; Cognitive radio; Evolutionary computation; Genetic algorithms; Genetic engineering; Mechatronics; Quantum mechanics; clonal selection quantum(CSQ); cognitive radio; immune clonal selection; multi-objective function; quantum genetic algorithm (QGA);
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
DOI :
10.1109/ICMTMA.2010.19
