메뉴 건너뛰기




Volumn 5, Issue , 1998, Pages

An upper bound on the convergence rates of canonical genetic algorithms

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY CONTROL; GENETIC ALGORITHMS; LEARNING SYSTEMS; MARKOV PROCESSES; MATRIX ALGEBRA; NEURAL NETWORKS; OPTIMIZATION; PROBLEM SOLVING; SIGNAL ENCODING; VECTORS;

EID: 0009571358     PISSN: 13200682     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (21)

References (19)
  • 1
    • 21344439522 scopus 로고    scopus 로고
    • The dynamics of mutation-selection algorithms with large population size
    • Cerf, R.(1996). The dynamics of mutation-selection algorithms with large population size. Annales de l'Institut Henri Poincare-Probabilites et Statistiques, 32(4), 455-508.
    • (1996) Annales de l'Institut Henri Poincare-probabilites et Statistiques , vol.32 , Issue.4 , pp. 455-508
    • Cerf, R.1
  • 3
    • 84869750803 scopus 로고
    • Global convergence of genetic algorithms : A Markov chain analysis
    • H.-P.Schwefel & R.Männer (Eds.), Berlin and Heideberg: Springer
    • Eiben, A.E., Aarts, E.H.L., & Hee, K.M.Van.(1991). Global convergence of genetic algorithms : A Markov chain analysis. In H.-P.Schwefel & R.Männer (Eds.), Parallel problem solving from nature(pp.4-12). Berlin and Heideberg: Springer.
    • (1991) Parallel Problem Solving from Nature , pp. 4-12
    • Eiben, A.E.1    Aarts, E.H.L.2    Van Hee, K.M.3
  • 4
    • 0028427635 scopus 로고
    • Asymptotic convergence properties of genetic algorithms and evolutionary programming: Analysis and experiments
    • Fogel, D.B.(1994). Asymptotic convergence properties of genetic algorithms and evolutionary programming: Analysis and experiments. Cybernetics and Systems, 25(3), 389-407.
    • (1994) Cybernetics and Systems , vol.25 , Issue.3 , pp. 389-407
    • Fogel, D.B.1
  • 5
    • 1542505146 scopus 로고
    • Parallel annealing by periodically interacting multiple searches: An experimental study
    • R.Azencott(Ed.), New York: John Wiley & Sons
    • Graffigne, C.(1992). Parallel annealing by periodically interacting multiple searches: an experimental study. In R.Azencott(Ed.), Simulated annealing: Parallelization techniques, (pp.47-99). New York: John Wiley & Sons.
    • (1992) Simulated Annealing: Parallelization Techniques , pp. 47-99
    • Graffigne, C.1
  • 8
    • 0031236881 scopus 로고    scopus 로고
    • Degree of population diversity: A perspective on premature convergence in genetic algorithms and its Markov chain analysis
    • Leung, Y., Gao, Y., & Xu, Z.B.(1996). Degree of population diversity: A perspective on premature convergence in genetic algorithms and its Markov chain analysis. IEEE Transactions on Neural Networks, 8(5), 1165-1176.
    • (1996) IEEE Transactions on Neural Networks , vol.8 , Issue.5 , pp. 1165-1176
    • Leung, Y.1    Gao, Y.2    Xu, Z.B.3
  • 9
    • 0002082914 scopus 로고
    • Genetic algorithms as global random search methods: An alternative perspective
    • Peck, C.C., & Dhawan, A.P.(1995). Genetic algorithms as global random search methods: An alternative perspective. Evolutionary Computation, 3(1), 39-80.
    • (1995) Evolutionary Computation , vol.3 , Issue.1 , pp. 39-80
    • Peck, C.C.1    Dhawan, A.P.2
  • 10
    • 0030123472 scopus 로고    scopus 로고
    • Stochastic modelling of genetic algorithms
    • Reynolds, D., & Gomatam, J.(1996). Stochastic modelling of genetic algorithms. Artificial Intelligence, 82, 303-330.
    • (1996) Artificial Intelligence , vol.82 , pp. 303-330
    • Reynolds, D.1    Gomatam, J.2
  • 11
    • 0000569335 scopus 로고
    • Convergence diagnostics of Gibbs sampler
    • J.M.Bernardo, J.O.Berger, A.P.Dawid, & A.F.M.Smith (Eds.), UK: Oxford University Press
    • Roberts, G.O.(1992). Convergence diagnostics of Gibbs sampler. In J.M.Bernardo, J.O.Berger, A.P.Dawid, & A.F.M.Smith (Eds.), Bayesian Statistics-4(pp.775-782), UK: Oxford University Press.
    • (1992) Bayesian Statistics , vol.4 , pp. 775-782
    • Roberts, G.O.1
  • 13
    • 0000926886 scopus 로고
    • Convergence rates for Markov chains
    • Rosenthal, J.S.(1995a). Convergence rates for Markov chains. SIAM Review, 37(3), 387-405.
    • (1995) SIAM Review , vol.37 , Issue.3 , pp. 387-405
    • Rosenthal, J.S.1
  • 14
    • 84923618271 scopus 로고
    • Minorization conditions and convergence rates for Markov chain Monte Carlo
    • Rosenthal, J.S.(1995b). Minorization conditions and convergence rates for Markov chain Monte Carlo. Journal of the American Statistical Association, 90(430), 558-566.
    • (1995) Journal of the American Statistical Association , vol.90 , Issue.430 , pp. 558-566
    • Rosenthal, J.S.1
  • 15
    • 0028203106 scopus 로고
    • Convergence analysis of canonical genetic algorithms
    • Rudolph, G.(1994). Convergence analysis of canonical genetic algorithms. IEEE Transactions on Neural Networks, 5(1), 96-101.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , Issue.1 , pp. 96-101
    • Rudolph, G.1
  • 16
    • 0002346490 scopus 로고
    • A study of control parameters affecting online performance of genetic algorithms for function optimization
    • J.D.Schaffer(Ed.), San Mateo, CA: Morgan Kaufmann
    • Schaffer, J.D., Caruana, R.A., Eshelman, L.J., & Das, R.(1989). A study of control parameters affecting online performance of genetic algorithms for function optimization. In J.D.Schaffer(Ed.), Proceedings of the third International Conference on Genetic Algorithms (pp.51-60), San Mateo, CA: Morgan Kaufmann.
    • (1989) Proceedings of the Third International Conference on Genetic Algorithms , pp. 51-60
    • Schaffer, J.D.1    Caruana, R.A.2    Eshelman, L.J.3    Das, R.4
  • 17
    • 0001961776 scopus 로고
    • Dynamic parameter encoding for genetic algorithms
    • Schraudolpl, N.N., & Belew, R.K.(1992). Dynamic parameter encoding for genetic algorithms. Machine Learning, 9, 9-21.
    • (1992) Machine Learning , vol.9 , pp. 9-21
    • Schraudolpl, N.N.1    Belew, R.K.2
  • 18
  • 19
    • 0009189839 scopus 로고    scopus 로고
    • Modeling simple genetic algorithms
    • Vose, M.D.(1996). Modeling simple genetic algorithms. Evolutionary Computation, 3(4), 453-472.
    • (1996) Evolutionary Computation , vol.3 , Issue.4 , pp. 453-472
    • Vose, M.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.