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Volumn , Issue , 2009, Pages

An improved PSO algorithm for flexible job shop scheduling with lot-splitting

Author keywords

Flexible job shop scheduling; Lot splitting; Multi objective optimization; Particle swarm optimization algorithm; Preference information

Indexed keywords

DECISION MAKERS; FLEXIBLE JOB-SHOP SCHEDULING; FLEXIBLE JOB-SHOP SCHEDULING PROBLEM; HARD WORK; IMPROVED PSO; LOT-SPLITTING; MULTI OBJECTIVE; PARETO FRONT; PARTICLE SWARM OPTIMIZATION ALGORITHM; PREFERENCE INFORMATION; SCHEDULING PROBLEM; SEARCH RESULTS; SUB-PROBLEMS;

EID: 70349490226     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IWISA.2009.5072720     Document Type: Conference Paper
Times cited : (14)

References (11)
  • 2
    • 0033207931 scopus 로고    scopus 로고
    • Batch splitting method for a job shop scheduling problem in an MRP environment
    • Taylor and Francis Ltd, London, England
    • Jeong Han-Il, Park Jinwoo, Leachman R C., "Batch splitting method for a job shop scheduling problem in an MRP environment", International Journal of Production Research, Taylor and Francis Ltd, London, England, 1999, 37(15), pp. 3583-3598.
    • (1999) International Journal of Production Research , vol.37 , Issue.15 , pp. 3583-3598
    • Han-Il, J.1    Park Jinwoo, L.R.C.2
  • 9
    • 14044268702 scopus 로고    scopus 로고
    • An effective hybrid optimization approach for multi-objective flexible job-shop scheduling problems
    • Elsevier Ltd, Oxford, United Kingdom
    • Xia Weijun, Wu Zhiming, "An effective hybrid optimization approach for multi-objective flexible job-shop scheduling problems", Computers and Industrial Engineering, Elsevier Ltd, Oxford, United Kingdom, 2005, 48(2), pp. 409-425.
    • (2005) Computers and Industrial Engineering , vol.48 , Issue.2 , pp. 409-425
    • Xia, W.1    Wu, Z.2
  • 11
    • 34548057047 scopus 로고    scopus 로고
    • Using evolutionary computation and local search to solve multi-objective flexible job shop problems
    • London, United Kingdom
    • Ho Nhu Binh, Tay Joc Cing, "Using evolutionary computation and local search to solve multi-objective flexible job shop problems", Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference, London, United Kingdom, 2007, pp. 821-828.
    • (2007) Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference , pp. 821-828
    • Ho, N.1    Tay, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.