DocumentCode
1800677
Title
Chaos Quantum Clonal Multiobjective Evolutionary Algorithm
Author
She Xiangyang ; Zhu Minghao
Author_Institution
College of Computer Science & Technology, Xi´ an University of Science & Technology, China
fYear
2013
fDate
1-8 Jan. 2013
Firstpage
1
Lastpage
5
Abstract
Based on the ergodicity of chaotic searching, the efficiency of quantum computing and antibody clonal selection theory of Artificial Immune System (AIS), Chaos Quantum Clonal Multiobjective Evolutionary Algorithm (CQCMEA) is proposed in this paper. The algorithm encodes the initial population by qubit, updates individual by quantum rotated gates with chaotic variables and maintains the distribution and diversity of solutions by crowding distance. Theoretical analysis and experimental simulation proved the effectiveness of the algorithm.
Keywords
Algorithm design and analysis; Chaos; Evolutionary computation; Logic gates; Optimization; Sociology; Statistics; Chaos; Clonal Select Algorithm; Multiobjective optimization; Qubit encoding;
fLanguage
English
Publisher
ieee
Conference_Titel
Conference Anthology, IEEE
Conference_Location
China
Type
conf
DOI
10.1109/ANTHOLOGY.2013.6784763
Filename
6784763
Link To Document