메뉴 건너뛰기




Volumn 2, Issue , 2012, Pages 1032-1036

Quantum particle swarm evolutionary algorithm with application to system identification

Author keywords

He gate; noise; parameter identification; quantum particle swarm evolutionary algorithm; rotation angle

Indexed keywords

NOISE; PARTICLE SWARM ALGORITHM; PREMATURE CONVERGENCE; QUANTUM ANGLE; QUANTUM EVOLUTIONARY ALGORITHMS; QUANTUM PARTICLES; ROTATION ANGLES;

EID: 84867050133     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MIC.2012.6273477     Document Type: Conference Paper
Times cited : (5)

References (16)
  • 1
    • 0022421379 scopus 로고
    • Quantum theory, the Church-Turing principle and the universal quantum computer
    • D. Deutsch, Quantum theory, the Church-Turing principle and the universal quantum computer, in: Proceedings of the Royal Society of London Series A, Volume 400,pp.97-l17, 1985
    • (1985) Proceedings of the Royal Society of London Series A , vol.400
    • Deutsch, D.1
  • 3
    • 0033666472 scopus 로고    scopus 로고
    • Genetic quantum algorithm and its application to combinatorial optimization problems
    • C Piscataway: IEEE Press
    • Han K H, Kim J H. Genetic quantum algorithm and its application to combinatorial optimization problems[C]. Proc of the 2000 IEEE Congress on Evolutionary Computation. Piscataway: IEEE Press, 2000, 7: 1354-1360.
    • (2000) Proc of the 2000 IEEE Congress on Evolutionary Computation , vol.7 , pp. 1354-1360
    • Han, K.H.1    Kim, J.H.2
  • 4
    • 0036945847 scopus 로고    scopus 로고
    • Quantum-inspired evolutionary algorithm for a class of combinatorial optimization
    • J
    • Han K H, Kim J H. Quantum-inspired evolutionary algorithm for a class of combinatorial optimization[J). IEEE Trans on Evolutionary Computation, 2002, 6(6):580-593.
    • (2002) IEEE Trans on Evolutionary Computation , vol.6 , Issue.6 , pp. 580-593
    • Han, K.H.1    Kim, J.H.2
  • 7
    • 31144437014 scopus 로고    scopus 로고
    • Hybrid genetic algorithm based on quantum computing for numerical optimization and parameter estimation
    • 15 December
    • Ling Wang, Fang Tang and Hao Wu. Hybrid genetic algorithm based on quantum computing for numerical optimization and parameter estimation. Applied Mathematics and Computation, Volume 171, Issue 2, 15 December 2005, Pages 1141-1156
    • (2005) Applied Mathematics and Computation , vol.171 , Issue.2 , pp. 1141-1156
    • Wang, L.1    Tang, F.2    Wu, H.3
  • 8
    • 67650374564 scopus 로고    scopus 로고
    • Quantum-Inspired Evolutionary Algorithm for Real and Reactive Power Dispatch
    • John G. Vlachogiannis, Kwang Y. Lee. Quantum-Inspired Evolutionary Algorithm for Real and Reactive Power Dispatch. IEEE Trans Power Systems, 2008; 23(4):1627-1636
    • (2008) IEEE Trans Power Systems , vol.23 , Issue.4 , pp. 1627-1636
    • Vlachogiannis, J.G.1    Lee, K.Y.2
  • 13
    • 57649108420 scopus 로고    scopus 로고
    • Novel method of system identification based on modified particle swarm optimization algorithm
    • XU Xiao-ping, QIAN Fu-cai, WANG Feng. Novel method of system identification based on modified particle swarm optimization algorithm. Systems Engineering and Electronics. 2008, 30(11): 2231-2236.
    • (2008) Systems Engineering and Electronics , vol.30 , Issue.11 , pp. 2231-2236
    • Xu, X.-P.1    Qian, F.-C.2    Wang, F.3
  • 14
    • 0002345372 scopus 로고    scopus 로고
    • Cooperative learning in neural networks using particle swarm optimizers
    • J
    • Engelbrecht A P. Cooperative learning in neural networks using particle swarm optimizers[J]. South African Computer Journal, 2000(11): 84-90.
    • (2000) South African Computer Journal , Issue.11 , pp. 84-90
    • Engelbrecht, A.P.1
  • 16
    • 2442617141 scopus 로고    scopus 로고
    • Quantum-inspired evolutionary algorithms with a new termination criterion, Hε gate, and two-phase scheme
    • J
    • Han K H, Kim J H. Quantum-inspired evolutionary algorithms with a new termination criterion, Hε gate, and two-phase scheme[J]. IEEE Trans on Evolutionary Computation, 2004, 8(2): 156-169.
    • (2004) IEEE Trans on Evolutionary Computation , vol.8 , Issue.2 , pp. 156-169
    • Han, K.H.1    Kim, J.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.