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
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;
Conference_Titel :
Conference Anthology, IEEE
Conference_Location :
China
DOI :
10.1109/ANTHOLOGY.2013.6784763
