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Volumn , Issue , 2000, Pages 226-229

Working out system of production planning and job-shop scheduling based on hybrid genetic algorithms

Author keywords

Hybrid genetic algorithm; Job shop scheduling; Production planning

Indexed keywords

COMPUTER AIDED DESIGN; GENETIC ALGORITHMS; HEURISTIC METHODS; SCHEDULING; STRATEGIC PLANNING;

EID: 0034590362     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (3)
  • 1
    • 0027694655 scopus 로고
    • Applying the genetic approach to simulated annealing in solving some NP-hard problems
    • Lin F T., Applying the Genetic Approach to Simulated Annealing in Solving Some NP-hard problems. IEEE Trans on SMC, 23(6)(1993),1752-1767.
    • (1993) IEEE Trans on SMC , vol.23 , Issue.6 , pp. 1752-1767
    • Lin, F.T.1
  • 2
    • 0030241635 scopus 로고    scopus 로고
    • A hybrid GA-SA algorithm for just-in-time scheduling of multi-levels assemblies
    • Anthony Roach and Rakesh Nagi, A Hybrid GA-SA Algorithm for Just-In-Time Scheduling of Multi-levels Assemblies. Computer & Industrial Engineering, 30(4)(1996),1047-1060.
    • (1996) Computer & Industrial Engineering , vol.30 , Issue.4 , pp. 1047-1060
    • Roach, A.1    Nagi, R.2
  • 3
    • 0030082551 scopus 로고    scopus 로고
    • Ant system: Optimization by a colony of cooperating agents
    • Dorigo M, Maniezzo V, Ant System: Optimization by a Colony of Cooperating Agents. IEEE Trans on SMC, 26(1)(1996),29-41.
    • (1996) IEEE Trans on SMC , vol.26 , Issue.1 , pp. 29-41
    • Dorigo, M.1    Maniezzo, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.