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Volumn , Issue , 2009, Pages 2595-2598

An improved genetic algorithm for job-shop scheduling problem

Author keywords

Genetic algorithm; Job shop scheduling; Production scheduling; The strategy reserve the best individual

Indexed keywords

CROSSOVER AND MUTATION; EVOLUTION ABILITY; IMPROVED GENETIC ALGORITHMS; JOB SHOP SCHEDULING PROBLEMS; JOB-SHOP SCHEDULING; PRODUCTION SCHEDULING; THE STRATEGY RESERVE THE BEST INDIVIDUAL;

EID: 70449379724     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCDC.2009.5194839     Document Type: Conference Paper
Times cited : (1)

References (9)
  • 3
    • 0002449925 scopus 로고
    • Genetic algorithm
    • HOLLAND J H. Genetic algorithm. Scientific American. 1992, 266(4): 44-50.
    • (1992) Scientific American , vol.266 , Issue.4 , pp. 44-50
    • HOLLAND, J.H.1
  • 4
    • 70449371690 scopus 로고    scopus 로고
    • Chinese source
    • Chinese source
  • 5
    • 70449371538 scopus 로고    scopus 로고
    • Chinese source
    • Chinese source
  • 6
    • 70449371613 scopus 로고    scopus 로고
    • Chinese source
    • Chinese source
  • 9
    • 8744310630 scopus 로고    scopus 로고
    • Wei-jun Xia, Zhi-ming Wu, Wei Zhang, et al. A New Hybrid Optimization Algorithm for the Job-Shop Scheduling Prob-lem. Proceeding of the 2004 American Control Conference. 5552-5557. 2004.
    • Wei-jun Xia, Zhi-ming Wu, Wei Zhang, et al. A New Hybrid Optimization Algorithm for the Job-Shop Scheduling Prob-lem. Proceeding of the 2004 American Control Conference. 5552-5557. 2004.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.