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Volumn , Issue , 2008, Pages 803-810

Simulated annealing, its parameter settings and the longest common subsequence problem

Author keywords

Longest common subsequence problem; Run time analysis; Simulated annealing

Indexed keywords

HEURISTIC ALGORITHMS;

EID: 57349189375     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1389095.1389253     Document Type: Conference Paper
Times cited : (25)

References (14)
  • 10
    • 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
  • 11
    • 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
  • 13
    • 26444453617 scopus 로고    scopus 로고
    • Simulated annealing beats metropolis in combinatorial optimization
    • I. Wegener. Simulated annealing beats metropolis in combinatorial optimization. In ICALP, pages 589-601, 2005.
    • (2005) ICALP , pp. 589-601
    • Wegener, I.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.