DocumentCode
554109
Title
Multi-agent based hybrid evolutionary algorithm
Author
Xinyan Gan ; Jianguo Zheng
Author_Institution
Glorious Sun Sch. of Bus. Adm., Donghua Univ., Shanghai, China
Volume
2
fYear
2011
fDate
26-28 July 2011
Firstpage
1106
Lastpage
1110
Abstract
In this paper, we have discussed the multi-quantum evolutionary algorithm and simulated annealing algorithm for parallel search of the combination of single-point serial search. From the methodological point of view, it can largely enhance the intelligence of the algorithm. We also introduce the quantum mutation operator into multi-agent quantum evolutionary algorithm to achieve hybrid optimization.
Keywords
evolutionary computation; multi-agent systems; quantum computing; search problems; simulated annealing; multiagent based hybrid evolutionary algorithm; multiquantum evolutionary algorithm; parallel search; quantum mutation operator; simulated annealing algorithm; single-point serial search; Algorithm design and analysis; Encoding; Evolutionary computation; Genetics; Quantum mechanics; Simulated annealing; annealing algorithm; multi-agent based hybrid evolutionary algorithm; multi-quantum evolutionary algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022297
Filename
6022297
Link To Document