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Volumn 4, Issue , 2004, Pages 3019-3021

A genetic algorithm based approach to flowshop scheduling

Author keywords

Flowshop scheduling; Genetic algorithms; Optimization

Indexed keywords

ADAPTIVE EVOLUTION PROCESS; COMPUTATION SPEED; FLOWSHOP SCHEDULING; GENETIC OPERATORS;

EID: 4444270343     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (8)
  • 1
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    • A genetic algorithm for flowshop sequencing
    • R. Reeves, "A genetic algorithm for flowshop sequencing," Computers & Operations Research, vol. 22, no. 1, pp. 5-13, 1995.
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    • Reeves, R.1
  • 2
    • 0037210109 scopus 로고    scopus 로고
    • Performance enhancement by using non-permutation schedules in flowline-based manufacturing systems
    • S. Pugazhendhi, S. Thiagarajan, C. Rajendran, et al, "Performance enhancement by using non-permutation schedules in flowline-based manufacturing systems," Computers & Industrial Engineering, vol. 44, no. 1, pp. 133-157, 2003.
    • (2003) Computers & Industrial Engineering , vol.44 , Issue.1 , pp. 133-157
    • Pugazhendhi, S.1    Thiagarajan, S.2    Rajendran, C.3
  • 3
    • 0030241443 scopus 로고    scopus 로고
    • Genetic algorithms for flowshop scheduling problems
    • T. Murata, H. Ishibuchi, H. Tannka, "Genetic algorithms for flowshop scheduling problems," Computers & Industrial Engineering, vol. 30, no. 4, pp. 1061-1071, 1996.
    • (1996) Computers & Industrial Engineering , vol.30 , Issue.4 , pp. 1061-1071
    • Murata, T.1    Ishibuchi, H.2    Tannka, H.3
  • 4
    • 0037401823 scopus 로고    scopus 로고
    • Optimal new product positioning: A genetic algorithm approach
    • T. Gruca, B. Klemz, "Optimal new product positioning: A genetic algorithm approach," European Journal of Operational Research, vol. 146, no. 3, pp. 621-633, 2003.
    • (2003) European Journal of Operational Research , vol.146 , Issue.3 , pp. 621-633
    • Gruca, T.1    Klemz, B.2
  • 5
    • 0002709078 scopus 로고    scopus 로고
    • Optimal reactive power dispatch using an adaptive genetic algorithm
    • Q H Wu, Y J Cao, J Y Wen, "Optimal reactive power dispatch using an adaptive genetic algorithm," Electrical Power & Energy Systems, vol. 20, no. 8, pp. 563-569, 1998.
    • (1998) Electrical Power & Energy Systems , vol.20 , Issue.8 , pp. 563-569
    • Wu, Q.H.1    Cao, Y.J.2    Wen, J.Y.3
  • 6
    • 0037790995 scopus 로고    scopus 로고
    • Optimization of fed-batch bioreactors using genetic algorithms
    • D. Sarkar, J. Modak, "Optimization of fed-batch bioreactors using genetic algorithms," Chemical Engineering Science, vol. 58, no. 11, pp. 2283-2296, 2003
    • (2003) Chemical Engineering Science , vol.58 , Issue.11 , pp. 2283-2296
    • Sarkar, D.1    Modak, J.2
  • 7
    • 0028409149 scopus 로고
    • Adaptive probabilities of crossover and mutation in genetic algorithms
    • M. Srinivas, L Patnaik, "Adaptive probabilities of crossover and mutation in genetic algorithms," IEEE Transactions on Systems, Man and Cybernetics, vol. 24, no. 4, pp. 656-667, 1994.
    • (1994) IEEE Transactions on Systems, Man and Cybernetics , vol.24 , Issue.4 , pp. 656-667
    • Srinivas, M.1    Patnaik, L.2
  • 8
    • 4444294016 scopus 로고
    • Flowshop scheduling by simulated annealing
    • in Chinese
    • P. Tian, Z. Yang, S. Zhang, "Flowshop scheduling by simulated annealing," Information and Control, vol. 23, no. 3, pp. 133-139, 1994, (in Chinese).
    • (1994) Information and Control , vol.23 , Issue.3 , pp. 133-139
    • Tian, P.1    Yang, Z.2    Zhang, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.