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Volumn 3612, Issue PART III, 2005, Pages 141-150

A new approach belonging to EDAs: Quantum-inspired genetic algorithm with only one chromosome

Author keywords

[No Author keywords available]

Indexed keywords

CHROMOSOMES; COMPUTATIONAL COMPLEXITY; DISTRIBUTED COMPUTER SYSTEMS; INFORMATION RETRIEVAL; OPTIMIZATION; PROBABILITY; QUANTUM THEORY;

EID: 26844565450     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11539902_17     Document Type: Conference Paper
Times cited : (27)

References (18)
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    • 0031142488 scopus 로고    scopus 로고
    • Quantum Neural Networks (QNN's): Inherently fuzzy feedforward neural networks
    • Gopathy, P., Nicolaos, B. K.: Quantum Neural Networks (QNN's): Inherently Fuzzy Feedforward Neural Networks. IEEE Transactions on Neural Network, Vol. 8 (1997) 679-693
    • (1997) IEEE Transactions on Neural Network , vol.8 , pp. 679-693
    • Gopathy, P.1    Nicolaos, B.K.2
  • 6
    • 0038158194 scopus 로고    scopus 로고
    • Quantum optimization for training support vector machines
    • Davide, A., Sandro R., Fabio R., Rodolfo Z.: Quantum optimization for training support vector machines. Neural Networks, Vol.16 (2003) 763-770
    • (2003) Neural Networks , vol.16 , pp. 763-770
    • Davide, A.1    Sandro, R.2    Fabio, R.3    Rodolfo, Z.4
  • 10
    • 0036945847 scopus 로고    scopus 로고
    • Quantum-inspired evolutionary algorithm for a class of combinatorial optimization
    • Kuk-Hyun, H., Jong-Hwan, K.: Quantum-Inspired Evolutionary Algorithm for a Class of Combinatorial Optimization. IEEE transactions on evolutionary computation, Vol.6 (2002) 580-593
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , pp. 580-593
    • Kuk-Hyun, H.1    Jong-Hwan, K.2
  • 11
    • 0000313016 scopus 로고    scopus 로고
    • An introduction to quantum computing for non-physicists
    • Eleanor, R., Wolfgang, P.: An Introduction to Quantum Computing for Non-Physicists. ACM Computing Surveys, Vol.32 (2000) 300-335
    • (2000) ACM Computing Surveys , vol.32 , pp. 300-335
    • Eleanor, R.1    Wolfgang, P.2
  • 12
    • 0003984832 scopus 로고
    • Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning
    • Carnegie Mellon Univ., Pittsburgh, PA
    • Baluja, S.: Population-Based Incremental Learning: A Method for Integrating Genetic Search Based function Optimization and Competitive Learning. Carnegie Mellon Univ., Pittsburgh, PA, Tech. Rep. (1994)
    • (1994) Tech. Rep.
    • Baluja, S.1
  • 13
    • 0031215849 scopus 로고    scopus 로고
    • The equation for response to selection and its use for prediction
    • Mühlenbein, H.: The equation for response to selection and its use for prediction. Evolutionary Computation, Vol.5 (1998) 303-346
    • (1998) Evolutionary Computation , vol.5 , pp. 303-346
    • Mühlenbein, H.1
  • 14
    • 78049265488 scopus 로고    scopus 로고
    • MIMIC: Finding optima by estimating probability densities
    • Jeremy, S. De Bonet, et al.: MIMIC: Finding optima by estimating probability densities. Advances in Neural Information Processing Systems, Vol.9 (1997) 424-431
    • (1997) Advances in Neural Information Processing Systems , vol.9 , pp. 424-431
    • Jeremy, S.D.B.1
  • 17
    • 0034276591 scopus 로고    scopus 로고
    • Linkage problem, distribution estimation and Bayesian networks
    • Pelikan, M., Goldberg, D.E., Cantú-paz, E.: Linkage Problem, Distribution Estimation and Bayesian Networks. Evolutionary Computation, Vol.8 (2000) 311-340
    • (2000) Evolutionary Computation , vol.8 , pp. 311-340
    • Pelikan, M.1    Goldberg, D.E.2    Cantú-Paz, E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.