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Volumn 4, Issue , 2004, Pages 3343-3348

A hybrid genetic algorithm with Lamarckian individual learning for tasks scheduling

Author keywords

Hybrid Genetic Algorithm; Lamarckian Evolution; Neighborhood Search; Parallel Multiprocessor Systems; Tasks Scheduling

Indexed keywords

HYBRID GENETIC ALGORITHMS; LAMARCKIAN EVOLUTION; NEIGHBORHOOD SEARCH; PARALLEL MULTIPROCESSOR SYSTEMS; TASK SCHEDULING;

EID: 15744393170     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2004.1400858     Document Type: Conference Paper
Times cited : (5)

References (14)
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    • Kwok, Y.-K.1    Ahmad, I.2
  • 4
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    • Haluk Topcuoglu, Salim Hariri, and Min-You Wu, "Performance- Effective and Low-Complexity Task Scheduling for Heterogeneous Computing", IEEE Transactions on Parallel and Distributed Systems, Vol. 13, No. 3, pp. 260-274, March 2002.
    • (2002) IEEE Transactions on Parallel and Distributed Systems , vol.13 , Issue.3 , pp. 260-274
    • Topcuoglu, H.1    Hariri, S.2    Wu, M.-Y.3
  • 5
    • 0027542932 scopus 로고
    • A compile-time scheduling heuristic for interconnection-constrained heterogeneous processor architectures
    • Feb.
    • G.C. Sih and E.A. Lee, "A Compile-Time Scheduling Heuristic for Interconnection-Constrained Heterogeneous Processor Architectures", IEEE Transactions on Parallel and Distributed Systems, Vol 4, No. 2, pp. 175-186, Feb. 1993.
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    • Task matching and scheduling in heterogeneous computing environments using a genetic algorithm-based approach
    • Nov.
    • L.Wang, H.J.Siegel, V.P.Rowchoudhry, and A.A.Maciejewski, "Task Matching and Scheduling in Heterogeneous Computing Environments Using a Genetic Algorithm-Based Approach", Journal of Parallel and Distributed Computing, 47(8-22), pp. 8-22, Nov. 1997.
    • (1997) Journal of Parallel and Distributed Computing , vol.47 , Issue.8-22 , pp. 8-22
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.