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Volumn , Issue , 2007, Pages 2182-2189

Comparing two models to generate hyper-heuristics for the 2d-regular bin-packing problem

Author keywords

Cutting and packing problems; Evolutionary computation; Hyper heuristics; Optimization

Indexed keywords

COMPUTATION THEORY; LEARNING SYSTEMS; OPTIMIZATION; PROBLEM SOLVING;

EID: 34548102729     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1276958.1277377     Document Type: Conference Paper
Times cited : (10)

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  • 10
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    • Hopper, E.1    Turton, B.C.2
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    • Hyper-heuristics: Learning to combine simple heuristics in bin-packing problems
    • P. Ross, S. Schulenburg, J. M. Blázquez, and E. Hart. Hyper-heuristics: learning to combine simple heuristics in bin-packing problems. Proceedings of GECCO 2002, pages 942-948, 2002.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.