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Volumn 2439, Issue , 2002, Pages 54-63

Fitness landscapes based on sorting and shortest paths problems

Author keywords

[No Author keywords available]

Indexed keywords

GRAPH THEORY; HEALTH; MULTIOBJECTIVE OPTIMIZATION; POLYNOMIAL APPROXIMATION;

EID: 84944314799     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45712-7_6     Document Type: Conference Paper
Times cited : (52)

References (10)
  • 2
    • 0032082507 scopus 로고    scopus 로고
    • A rigorous complexity analysis of the (1+1) evolutionary algorithm for separable functions with Boolean inputs
    • Droste, S., Jansen, T., and Wegener, I. (1998a). A rigorous complexity analysis of the (1+1) evolutionary algorithm for separable functions with Boolean inputs. Evolutionary Computation 6, 185–196.
    • (1998) Evolutionary Computation , vol.6 , pp. 185-196
    • Droste, S.1    Jansen, T.2    Wegener, I.3
  • 6
    • 0035694032 scopus 로고    scopus 로고
    • Evolutionary algorithms - how to cope with plateaus of constant fitness and when to reject strings of the same fitness
    • Jansen, T., and Wegener, I. (2001b). Evolutionary algorithms - how to cope with plateaus of constant fitness and when to reject strings of the same fitness. IEEE Trans. on Evolutionary Computation 5, 589–599.
    • (2001) IEEE Trans. On Evolutionary Computation , vol.5 , pp. 589-599
    • Jansen, T.1    Wegener, I.2
  • 7
    • 0001946219 scopus 로고
    • When will a genetic algorithm outperform hill climbing
    • In J. Cowan, G. Tesauro, and J. Alspector (Eds.), Morgan Kaufman
    • Mitchell, M., Holland, J.H., and Forrest, S. (1994). When will a genetic algorithm outperform hill climbing. In J. Cowan, G. Tesauro, and J. Alspector (Eds.): Advances in Neural Information Processing Systems. Morgan Kaufman.
    • (1994) Advances in Neural Information Processing Systems
    • Mitchell, M.1    Holland, J.H.2    Forrest, S.3
  • 9
    • 0000066236 scopus 로고    scopus 로고
    • How mutations and selection solve long path problems in polynomial expected time
    • Rudolph, G. (1997). 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.