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Volumn 8, Issue 2, 2002, Pages 197-213

Greedy and local search heuristics for unconstrained binary quadratic programming

Author keywords

Greedy heuristics; Local search; Unconstrained quadratic binary programming

Indexed keywords

COMPUTATIONAL COMPLEXITY; EVOLUTIONARY ALGORITHMS; MATRIX ALGEBRA; PROBLEM SOLVING; QUADRATIC PROGRAMMING; VECTORS;

EID: 0036496382     PISSN: 13811231     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1017912624016     Document Type: Article
Times cited : (114)

References (33)
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    • Technical Report, Management School, Imperial College, London, UK
    • (1998)
    • Beasley, J.E.1
  • 15
    • 4243384331 scopus 로고    scopus 로고
    • Performance of simulated annealing-based heuristic for the unconstrained binary quadratic programming problem
    • Technical Report, Dept. of Information and Computer Engineering, Okayama University of Science, Okayama, Japan
    • (1999)
    • Katayama, K.1    Narihisa, H.2
  • 24
    • 0003529332 scopus 로고    scopus 로고
    • Memetic algorithms for combinatorial optimization problems: Fitness landscapes and effective search strategies
    • Ph.D. Thesis, Department of Electrical Engineering and Computer Science, University of Siegen, Germany
    • (2000)
    • Merz, P.1
  • 28
    • 0003603223 scopus 로고
    • On evolution, search, optimization, genetic algorithms and martial arts: Towards memetic algorithms
    • Technical Report No. 790, Caltech Concurrent Computation Program, California Institute of Technology
    • (1989)
    • Moscato, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.