DocumentCode
476306
Title
A novel multi-subpopulation quantum genetic algorithm
Author
Zhu, Xue-qin ; Gui, Ying ; Gao, Xiao-hui
Author_Institution
Dept. of Comput. Sci. & Technol., East China Inst. of Technol., Fuzhou
Volume
6
fYear
2008
fDate
12-15 July 2008
Firstpage
3530
Lastpage
3534
Abstract
A multi-subpopulation quantum genetic algorithm based on attractors is proposed to cope with the drawback of genetic algorithms. The one point of MQGA is that a new chromosome representation called ubit representation. And MQGA views the excellent individuals as attractors and generates local small popula-Lions in the neighbor of them to maintain the diversity of the population. In the course of searching, MQGA constantly shrinks the searching neighbor. Finally, MQGApsilas efficiency is validated through optimization of some benchmark functions.
Keywords
genetic algorithms; quantum computing; chromosome representation; local small popula-Lions; multi-subpopulation quantum genetic algorithm; ubit representation; Biological cells; Computer science; Convergence; Cybernetics; Genetic algorithms; Graphical user interfaces; Machine learning; Quantum computing; Quantum mechanics; Testing; Function Optimization; Genetic Algorithm; Quantum;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-4244-2095-7
Electronic_ISBN
978-1-4244-2096-4
Type
conf
DOI
10.1109/ICMLC.2008.4621015
Filename
4621015
Link To Document