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Volumn , Issue , 2005, Pages 571-578

On the analysis of the approximation capability of simple evolutionary algorithms for scheduling problems

Author keywords

Algorithms; Evolution; Scheduling; Theory

Indexed keywords

HEURISTIC METHODS; PROGRAM PROCESSORS; SCHEDULING;

EID: 32444438181     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1068009.1068106     Document Type: Conference Paper
Times cited : (15)

References (15)
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    • Frenk, J.1    Rinnooy Kan, A.2
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    • Giel, O.1    Wegener, I.2
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    • Graham, R.1
  • 8
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    • Using dual approximation algorithms for scheduling problems: Theoretical and practical results
    • D. Hochbaum and D. Shmoys. Using Dual Approximation Algorithms for Scheduling Problems: Theoretical and Practical Results. In Journal of the Association for Computing Machinery, number 34 (1), pages 144-162. 1987.
    • (1987) Journal of the Association for Computing Machinery , vol.34 , Issue.1 , pp. 144-162
    • Hochbaum, D.1    Shmoys, D.2
  • 9
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    • Optimization by simulated annealing
    • S. Kirkpatrick, C. Gelatt, and M. Vecchi. Optimization by Simulated Annealing. In Science, volume 220, 4598, pages 671-680. 1983.
    • (1983) Science , vol.220 , Issue.4598 , pp. 671-680
    • Kirkpatrick, S.1    Gelatt, C.2    Vecchi, M.3
  • 11
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    • Randomized local search, evolutionary algorithms, and the minimum spanning tree problem
    • F. Neumann and I. Wegener. Randomized Local Search, Evolutionary Algorithms, and the Minimum Spanning Tree Problem. In Proc. of GECCO, LNCS, volume 3102, pages 713-724. 2004.
    • (2004) Proc. of GECCO, LNCS , vol.3102 , pp. 713-724
    • Neumann, F.1    Wegener, I.2
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    • Methods for the analysis of evolutionary algorithms on pseudo-boolean functions
    • R. Sarker, X. Yao, M. Mohammadian, editor. Kluwer
    • I. Wegener. Methods for the Analysis of Evolutionary Algorithms on Pseudo-Boolean Functions. In R. Sarker, X. Yao, M. Mohammadian, editor, Evolutionary Optimization, pages 349-369. Kluwer, 2002.
    • (2002) Evolutionary Optimization , pp. 349-369
    • Wegener, I.1
  • 15
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    • Worst-case and average-case approximations by simple randomized search heuristics
    • Proceedings of STACS
    • C. Witt. Worst-Case and Average-Case Approximations by Simple Randomized Search Heuristics. In Proceedings of STACS, volume 3404 of LNCS, pages 44-56, 2005.
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    • Witt, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.