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Volumn , Issue , 2007, Pages 939-946

Analysis of evolutionary algorithms for the longest common subsequence problem

Author keywords

Crossover; Longest common subsequence problem; Run time analysis

Indexed keywords

BIOINFORMATICS; COMPUTATIONAL EFFICIENCY; COMPUTER SCIENCE; FUNCTION EVALUATION; PATTERN RECOGNITION; PROBLEM SOLVING;

EID: 34548083123     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1276958.1277148     Document Type: Conference Paper
Times cited : (12)

References (15)
  • 12
    • 34548059391 scopus 로고    scopus 로고
    • Expected runtimes of evolutionary algorithms for the eulerian cycle problem
    • To appear
    • F. Neumann. Expected runtimes of evolutionary algorithms for the eulerian cycle problem. Computers and Operations Research, 2007. To appear.
    • (2007) Computers and Operations Research
    • Neumann, F.1
  • 13
    • 33748121602 scopus 로고    scopus 로고
    • Minimum spanning trees made easier via multi-objective optimization
    • F. Neumann and I. Wegener. Minimum spanning trees made easier via multi-objective optimization. Natural Computing, 5(3):305-319, 2006.
    • (2006) Natural Computing , vol.5 , Issue.3 , pp. 305-319
    • Neumann, F.1    Wegener, I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.