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

Volume

2

fYear

2010

fDate

13-14 March 2010

Firstpage

740

Lastpage

743

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);

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICMTMA.2010.19

Filename

5459783