Title :
Multi-agent based hybrid evolutionary algorithm
Author :
Xinyan Gan ; Jianguo Zheng
Author_Institution :
Glorious Sun Sch. of Bus. Adm., Donghua Univ., Shanghai, China
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;
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9950-2
DOI :
10.1109/ICNC.2011.6022297
