DocumentCode :
2465917
Title :
On the Analysis of the Quantum-inspired Evolutionary Algorithm with a Single Individual
Author :
Han, Kuk-Hyun ; Kim, Jong-Hwan
Author_Institution :
Samsung Electron. Co., Ltd., Suwon
fYear :
0
fDate :
0-0 0
Firstpage :
2622
Lastpage :
2629
Abstract :
This paper discusses the reason why QEA works and verifies how QEA works. The theoretical analysis of the simplified model of the segment process of QEA shows that QEA with a single individual for OneMax problem guarantees the global solution in terms of expected running number of generations. The analysis for exploration shows clearly that QEA starts with a global search scheme and changes automatically into a local search scheme as generation advances because of its inherent probabilistic mechanism, which leads to a good balance between exploration and exploitation. For comparison purpose, simulated annealing is considered with three test functions. The results support the conclusions derived from the theoretical analysis of QEA with a single individual.
Keywords :
evolutionary computation; probability; quantum computing; search problems; OneMax problem; global search scheme; local search scheme; probabilistic mechanism; quantum-inspired evolutionary algorithm; segment process; theoretical analysis; Algorithm design and analysis; Evolutionary computation; Genetic algorithms; Guidelines; Principal component analysis; Quantum computing; Research and development; Simulated annealing; Space exploration; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9487-9
Type :
conf
DOI :
10.1109/CEC.2006.1688636
Filename :
1688636
Link To Document :
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