메뉴 건너뛰기




Volumn , Issue , 2008, Pages 929-936

Comparing global and local mutations on bit strings

Author keywords

Analysis; Evolutionary computation; Mutation; Randomized local search

Indexed keywords

COMPUTER SCIENCE; EVOLUTIONARY ALGORITHMS;

EID: 57349178418     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1389095.1389274     Document Type: Conference Paper
Times cited : (24)

References (10)
  • 2
    • 57349189868 scopus 로고    scopus 로고
    • A tight bound for the (1+1)-EA on the single source shortest path problem
    • D. Srinivasan and L. Wang, editors, IEEE Press
    • B. Doerr, E. Happ, and C. Klein. A tight bound for the (1+1)-EA on the single source shortest path problem. In D. Srinivasan and L. Wang, editors, Proceedings of the 2007 IEEE Congress on Evolutionary Computation (CEC), pages 1890-1895. IEEE Press, 2007.
    • (2007) Proceedings of the 2007 IEEE Congress on Evolutionary Computation (CEC) , pp. 1890-1895
    • Doerr, B.1    Happ, E.2    Klein, C.3
  • 3
    • 84878583363 scopus 로고    scopus 로고
    • On the optimization of unimodal functions with the (1+1) evolutionary algorithm
    • A. E. Eiben, T. Back, M. Schoenauer, and H.-P. Schwefel, editors, Proceedings of the 5th International Conference on Parallel Problem Solving From Nature PPSN, of, Springer
    • S. Droste, T. Jansen, and I. Wegener. On the optimization of unimodal functions with the (1+1) evolutionary algorithm. In A. E. Eiben, T. Back, M. Schoenauer, and H.-P. Schwefel, editors, Proceedings of the 5th International Conference on Parallel Problem Solving From Nature (PPSN), volume 1498 of Lecture Notes in Computer Science, pages 13-22. Springer, 1998.
    • (1998) Lecture Notes in Computer Science , vol.1498 , pp. 13-22
    • Droste, S.1    Jansen, T.2    Wegener, I.3
  • 4
    • 0037029331 scopus 로고    scopus 로고
    • On the analysis of the (1+1) evolutionary algorithm
    • S. Droste, T. Jansen, and I. Wegener. On the analysis of the (1+1) evolutionary algorithm. Theoretical Computer Science, 276(1-2):51-81, 2002.
    • (2002) Theoretical Computer Science , vol.276 , Issue.1-2 , pp. 51-81
    • Droste, S.1    Jansen, T.2    Wegener, I.3
  • 5
    • 4344644853 scopus 로고    scopus 로고
    • A study of drift analysis for estimating computation time of evolutionary algorithms
    • J. He and X. Yao. A study of drift analysis for estimating computation time of evolutionary algorithms. Natural Computing, 3(1):21-35, 2004.
    • (2004) Natural Computing , vol.3 , Issue.1 , pp. 21-35
    • He, J.1    Yao, X.2
  • 6
    • 84986265197 scopus 로고
    • Long path problems
    • Y. Davidor, H.-P. Schwefel, and R. Männer, editors, Proceedings of the Third Conference on Parallel Problem Solving from Nature PPSN III, of, Springer
    • J. Horn, D. E. Goldberg, and K. Deb. Long path problems. In Y. Davidor, H.-P. Schwefel, and R. Männer, editors, Proceedings of the Third Conference on Parallel Problem Solving from Nature (PPSN III), volume 866 of Lecture Notes in Computer Science, pages 149-158. Springer, 1994.
    • (1994) Lecture Notes in Computer Science , vol.866 , pp. 149-158
    • Horn, J.1    Goldberg, D.E.2    Deb, K.3
  • 7
    • 84947932163 scopus 로고    scopus 로고
    • On the choice of the mutation probability for the (1+1) ea
    • M. Schoenauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J. J. M. Guervós, and H.-P. Schwefel, editors, Proceedings of the 6th International Conference on Parallel Problem Solving From Nature PPSN, of, Springer
    • T. Jansen and I. Wegener. On the choice of the mutation probability for the (1+1) ea. In M. Schoenauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J. J. M. Guervós, and H.-P. Schwefel, editors, Proceedings of the 6th International Conference on Parallel Problem Solving From Nature (PPSN), volume 1917 of Lecture Notes in Computer Science, pages 89-98. Springer, 2000.
    • (2000) Lecture Notes in Computer Science , vol.1917 , pp. 89-98
    • Jansen, T.1    Wegener, I.2
  • 9
    • 0000066236 scopus 로고    scopus 로고
    • How mutation and selection solve long path problems in polynomial expected time
    • G. Rudolph. How mutation and selection solve long path problems in polynomial expected time. Evolutionary Computation, 4(2): 195-205, 1996.
    • (1996) Evolutionary Computation , vol.4 , Issue.2 , pp. 195-205
    • Rudolph, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.