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