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Volumn 1928, Issue , 2000, Pages 1-10

On the expected runtime and the success probability of evolutionary algorithms: (Invited presentation)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BOOLEAN FUNCTIONS; GRAPH THEORY; HEURISTIC ALGORITHMS; OPTIMIZATION; PROBABILITY;

EID: 84958776704     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-40064-8_1     Document Type: Conference Paper
Times cited : (6)

References (20)
  • 2
    • 84901466978 scopus 로고    scopus 로고
    • An overview of parameter control methods by self-adaptation in evolutionary algorithms
    • Bäck, T. (1998). An overview of parameter control methods by self-adaptation in evolutionary algorithms. Fundamenta Informaticae 34, 1-15.
    • (1998) Fundamenta Informaticae , vol.34 , pp. 1-15
    • Bäck, T.1
  • 3
    • 0031647995 scopus 로고    scopus 로고
    • A rigorous complexity analysis of the (1 + 1) evolutionary algorithm for linear functions with boolean inputs
    • Droste, S., Jansen, T., and Wegener, I. (1998). A rigorous complexity analysis of the (1 + 1) evolutionary algorithm for linear functions with boolean inputs. ICEC '98, 499-504.
    • (1998) ICEC '98 , pp. 499-504
    • Droste, S.1    Jansen, T.2    Wegener, I.3
  • 10
    • 84958045928 scopus 로고    scopus 로고
    • On the analysis of evolutionary algorithms - A proof that crossover really can help
    • LNCS
    • Jansen, T. and Wegener, I. (1999). On the analysis of evolutionary algorithms - a proof that crossover really can help. ESA '99, LNCS 1643, 184-193.
    • (1999) ESA '99 , vol.1643 , pp. 184-193
    • Jansen, T.1    Wegener, I.2
  • 12
    • 0038928586 scopus 로고    scopus 로고
    • The Metropolis algorithm for graph bisection
    • Jerrum, T. and Sorkin, G. B. (1998). The Metropolis algorithm for graph bisection. Discrete Applied Mathematics 82, 155-175.
    • (1998) Discrete Applied Mathematics , vol.82 , pp. 155-175
    • Jerrum, T.1    Sorkin, G.B.2
  • 18
    • 0000066236 scopus 로고    scopus 로고
    • How mutations and selection solve long path problems in polynomial expected time
    • Rudolph, G. (1997a). How mutations and selection solve long path problems in polynomial expected time. Evolutionary Computation 4, 195-205.
    • (1997) Evolutionary Computation , vol.4 , pp. 195-205
    • Rudolph, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.