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Springer eBooks

Parameter Setting of Quantum-Inspired Genetic Algorithm Based on Real Observation

Gexiang Zhang, Haina Rong

Published Jun 25, 2007• 9 citations
Publisher
DOI
10.1007/978-3-540-72458-2_61

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Through the study of the quantum computing theory and binary coded quantum-inspired evolutionary algorithm, a new real-coded quantum-inspired evolutionary algorithm mode-double parameters real-coded quantum-inspired evolutionary algorithm mode is proposed.When it is applied to the genetic algorithm,a double parameter real-coded quantum genetic algorithm(DRQEA) is obtained.As a result,the binary to decimal conversion and complicated calculation of quantum gate in the quantum bit coded quantum genetic algorithm(QEA) is avoided. Simulation results show that compared with QEA,DRQEAhas lower time complexity,more global search ability which confirms the effectiveness of double parameters real-coded mode.