메뉴 건너뛰기




Volumn 10, Issue 3, 2011, Pages 335-356

Hybrid fuzzy logic-based particle swarm optimization for flow shop scheduling problem

Author keywords

Flow shop; fuzzy logic; particle swarm optimization; roulette wheel mechanism; scheduling

Indexed keywords

BENCHMARK FUNCTIONS; COMBINATORIAL OPTIMIZATION PROBLEMS; CONTROL PARAMETERS; FLOW SHOP SCHEDULING PROBLEM; FLOW-SHOPS; FUZZY INFERENCE SYSTEMS; HUMAN KNOWLEDGE; HYBRID PSO; INERTIA WEIGHT; LOCAL OPTIMA; LOCAL SEARCH; LOCAL SEARCH TECHNIQUES; MAKESPAN; OPERATION METHODS; PARTICLE SWARM; PERMUTATION FLOW-SHOP SCHEDULING; POLYNOMIAL-TIME; POSITION VALUE; ROULETTE WHEEL MECHANISM; SCHEDULING PROBLEM; SYSTEM-BASED; WHEEL MECHANISM;

EID: 80053985118     PISSN: 14690268     EISSN: None     Source Type: Journal    
DOI: 10.1142/S1469026811003136     Document Type: Article
Times cited : (16)

References (37)
  • 1
    • 0029224965 scopus 로고
    • A genetic algorithm for flowshop sequencing
    • C. R. Reeves, A genetic algorithm for flowshop sequencing, Comput. Oper. Res. 22(1) (1995) 5-13.
    • (1995) Comput. Oper. Res. , vol.22 , Issue.1 , pp. 5-13
    • Reeves, C.R.1
  • 2
    • 54449086192 scopus 로고    scopus 로고
    • Minimizing makespan in permutation flow shop scheduling problems using a hybrid metaheuristic algorithm
    • G. I. Zobolas, C. D. Tarantilis and G. Ioannou, Minimizing makespan in permutation flow shop scheduling problems using a hybrid metaheuristic algorithm, Computer and Operations Research 36 (2009) 1249-1267.
    • (2009) Computer and Operations Research , vol.36 , pp. 1249-1267
    • Zobolas, G.I.1    Tarantilis, C.D.2    Ioannou, G.3
  • 3
    • 37349113923 scopus 로고    scopus 로고
    • Hybrid tabu search for re-entrant permutation flow-shop scheduling problem
    • J. S. Chen, J. C. H. Pan and C. K. Wu, Hybrid tabu search for re-entrant permutation flow-shop scheduling problem, Expect System with Application 34 (2008) 1924-1930.
    • (2008) Expect System with Application , vol.34 , pp. 1924-1930
    • Chen, J.S.1    Pan, J.C.H.2    Wu, C.K.3
  • 4
    • 28244447023 scopus 로고    scopus 로고
    • Scheduling flow shops using differential evolution algorithm
    • G. Onwubolo and D. Davendra, Scheduling flow shops using differential evolution algorithm, Eur. J. Oper. Res. 171 (2006) 6740-692.
    • (2006) Eur. J. Oper. Res. , vol.171 , pp. 6740-692
    • Onwubolo, G.1    Davendra, D.2
  • 5
    • 15344338961 scopus 로고    scopus 로고
    • Two ant-colony algorithms for minimizing total flowtime in permutation flowshops
    • DOI 10.1016/j.cie.2004.12.009, PII S0360835204001913, Selected Papers from the 30th International Conference on Computers and Industrial Engineering
    • C. Rajendran and H. Ziegler, Two ant-colony algorithms for minimizing total flowtime in permutation flowshops, Comput. & Ind. Engg. 48 (2005) 789-797. (Pubitemid 40391497)
    • (2005) Computers and Industrial Engineering , vol.48 , Issue.4 , pp. 789-797
    • Rajendran, C.1    Ziegler, H.2
  • 6
    • 0942269532 scopus 로고    scopus 로고
    • Aa ant colony system for premutation flow-shop sequencing
    • K. C. Ying and C. J. Liao, Aa ant colony system for premutation flow-shop sequencing, Comput. Oper. Res. 31 (2004) 791-801.
    • (2004) Comput. Oper. Res. , vol.31 , pp. 791-801
    • Ying, K.C.1    Liao, C.J.2
  • 7
    • 18944395391 scopus 로고    scopus 로고
    • A hybrid particle swarm optimization applied to loss power minimization
    • A. A. E. Ahmed, L. T. Germano and Z. C. Antonio, A hybrid particle swarm optimization applied to loss power minimization, IEEE Trans. Power Syst. 20(2) (2005) 859-866.
    • (2005) IEEE Trans. Power Syst. , vol.20 , Issue.2 , pp. 859-866
    • Ahmed, A.A.E.1    Germano, L.T.2    Antonio, Z.C.3
  • 8
    • 36348944761 scopus 로고    scopus 로고
    • Congestion management using multiobjective particle swarm optimization
    • DOI 10.1109/TPWRS.2007.907532
    • J. Hazra and A. K. Sinha, Congestion management using multiobjective particle swarm optimization, IEEE Trans. Power Syst. 22(4) (2007) 1726-1734. (Pubitemid 350141972)
    • (2007) IEEE Transactions on Power Systems , vol.22 , Issue.4 , pp. 1726-1734
    • Hazra, J.1    Sinha, A.K.2
  • 9
    • 33847673213 scopus 로고    scopus 로고
    • A comparative study on particle swarm optimization for optimal steady-state performance of power systems
    • DOI 10.1109/TPWRS.2006.883687
    • J. G. Vlachogiannis and K. Y. Lee, A comparative study on particle swarm optimization for optimal steady-state performance of power systems, IEEE Trans. Power Syst. 21(4) (2006) 1718-1728. (Pubitemid 46357772)
    • (2006) IEEE Transactions on Power Systems , vol.21 , Issue.4 , pp. 1718-1728
    • Vlachogiannis, J.G.1    Lee, K.Y.2
  • 10
    • 29244436135 scopus 로고    scopus 로고
    • A particle-swarm-optimized fuzzy-neural network for voice-controlled robot systems
    • DOI 10.1109/TIE.2005.858737
    • A. Chatterjee, K. Pulasinghe, K.Watanabe and K. Izumi, A particle-swarm-optimized fuzzy-neural network for voice-controlled robot systems, IEEE Trans. Ind. Electron. 52(6) (2005) 1478-1489. (Pubitemid 41830018)
    • (2005) IEEE Transactions on Industrial Electronics , vol.52 , Issue.6 , pp. 1478-1489
    • Chatterjee, A.1    Pulasinghe, K.2    Watanabe, K.3    Izumi, K.4
  • 11
    • 1842535329 scopus 로고    scopus 로고
    • A hybrid genetic algorithm and particle swarm optimization for recurrent network design
    • C. F. Juang, A hybrid genetic algorithm and particle swarm optimization for recurrent network design, IEEE Trans. Syst. Man and Cybern. B 34(2) (2004) 997-1006.
    • (2004) IEEE Trans. Syst. Man and Cybern. B , vol.34 , Issue.2 , pp. 997-1006
    • Juang, C.F.1
  • 12
    • 34047131334 scopus 로고    scopus 로고
    • New chaotic PSO-based neural network predictive control for nonlinear process
    • Y. Song, Z. Chen and Z. Yuan, New chaotic PSO-based neural network predictive control for nonlinear process, IEEE Trans. Neural Networks 18(2) (2007) 595-601.
    • (2007) IEEE Trans. Neural Networks , vol.18 , Issue.2 , pp. 595-601
    • Song, Y.1    Chen, Z.2    Yuan, Z.3
  • 13
    • 33947656461 scopus 로고    scopus 로고
    • An improved PSO method with application to multimodal functions of inverse problems
    • DOI 10.1109/TMAG.2006.892108
    • S. L. Ho, S. Y. Yang, G. Z. Ni and K. F. Wong, An improved PSO method with application to multimodal functions of inverse problems, IEEE Trans. Magnetics 4 (2007) 1597-1600. (Pubitemid 46495540)
    • (2007) IEEE Transactions on Magnetics , vol.43 , Issue.4 , pp. 1597-1600
    • Ho, S.L.1    Yang, S.Y.2    Ni, G.Z.3    Wong, K.F.4
  • 14
    • 33751332923 scopus 로고    scopus 로고
    • Particle swarm optimization (PSO) applied to fuzzy modeling in a thernal-vacuum system
    • Rio de Janeiro, Brazil
    • R. Marinke, E. Araujo, Ld. S. Coelho and I. Matiko, Particle swarm optimization (PSO) applied to fuzzy modeling in a thernal-vacuum system, in Proc. 5th Int. Conf. Hybrid Intelligent Systems (Rio de Janeiro, Brazil, 2005), pp. 67-72.
    • (2005) Proc. 5th Int. Conf. Hybrid Intelligent Systems , pp. 67-72
    • Marinke, R.1    Araujo, E.2    Coelho, L.S.3    Matiko, I.4
  • 15
    • 35248901545 scopus 로고    scopus 로고
    • A novel particle swarm optimization algorithm for permutation flow-shop scheduling to minimize makespan
    • DOI 10.1016/j.chaos.2006.05.082, PII S0960077906005388
    • Z. Lian, X. Gu and B. Jiao, A novel particel swarm optimization algorithm for permutation flow-shop scheduling to minimize makespan, Chaos, Solitons and Fractals 35 (2008) 851-861. (Pubitemid 47562753)
    • (2008) Chaos, Solitons and Fractals , vol.35 , Issue.5 , pp. 851-861
    • Lian, Z.1    Gu, X.2    Jiao, B.3
  • 16
    • 38749118677 scopus 로고    scopus 로고
    • An effective hybrid PSO-based algorithm for flow shop scheduling with limited buffers
    • DOI 10.1016/j.cor.2006.12.013, PII S0305054806003169
    • B. Liu, L. Wang and Y. H. Jin, An effective hybrid PSO-based algorithm for flow shop scheduling with limited buffers, Comput. Oper. Res. 35 (2008) 2791-2806. (Pubitemid 351186803)
    • (2008) Computers and Operations Research , vol.35 , Issue.9 , pp. 2791-2806
    • Liu, B.1    Wang, L.2    Jin, Y.-H.3
  • 18
    • 80053057165 scopus 로고
    • An effective hybrid optimization algorithm for the flow shop scheduling problem
    • New Orleans, USA
    • K. Sun and G. Yang, An effective hybrid optimization algorithm for the flow shop scheduling problem, Proc. 30th IEEE Conf. Decision and Control (New Orleans, USA, 1995) 1942-1948.
    • (1995) Proc. 30th IEEE Conf. Decision and Control , pp. 1942-1948
    • Sun, K.1    Yang, G.2
  • 19
    • 33751236810 scopus 로고    scopus 로고
    • A particle swarm optimization algorithm for makespan and total flowtime minimization in the permutation flowshop sequencing problem
    • DOI 10.1016/j.ejor.2005.12.024, PII S0377221705008453
    • M. F. Tasgetiren, Y. C. Liang, M. Sevkli and G. Gencyilmaz, A particle swarm optimization algorithm for makespan and total flowtime minimization in the permutation flowshop sequencing problem, Eur. J. Oper. Res. 177 (2007) 1930-1947. (Pubitemid 44780934)
    • (2007) European Journal of Operational Research , vol.177 , Issue.3 , pp. 1930-1947
    • Tasgetiren, M.F.1    Liang, Y.-C.2    Sevkli, M.3    Gencyilmaz, G.4
  • 20
    • 37849011683 scopus 로고    scopus 로고
    • A modified binary particle swarm optimization algorithm for permutation flowshop problem
    • Hong Kong
    • L. Yuan and Z. D. Zhao, A modified binary particle swarm optimization algorithm for permutation flowshop problem, Proc. 6th Int. Conf. on Machine Learing and Cybernetics (Hong Kong, 2007), pp. 902-907.
    • (2007) Proc. 6th Int. Conf. on Machine Learing and Cybernetics , pp. 902-907
    • Yuan, L.1    Zhao, Z.D.2
  • 23
    • 0031697317 scopus 로고    scopus 로고
    • Using selection to improve particle swarm optimization
    • Anchorage
    • P. Angeline, Using selection to improve particle swarm optimization, Proc. IEEE Congress on Evolutionary Computing (Anchorage 1998), pp. 84-89.
    • (1998) Proc. IEEE Congress on Evolutionary Computing , pp. 84-89
    • Angeline, P.1
  • 25
    • 1842535329 scopus 로고    scopus 로고
    • A hybrid genetic algorithm and particle swarm optimization for recurrent network design
    • C. F. Juang, A hybrid genetic algorithm and particle swarm optimization for recurrent network design, IEEE Trans. Syst. Man and Cybern. B 34(2) (2004) 997-1006.
    • (2004) IEEE Trans. Syst. Man and Cybern. B , vol.34 , Issue.2 , pp. 997-1006
    • Juang, C.F.1
  • 28
    • 51449117383 scopus 로고    scopus 로고
    • Improved hybrid PSO-based wavelet neural network for modelling the development of fluid dispensing for electronic packaging
    • S. H. Ling, H. H. C. Iu, F. H. F. Leung and K. Y. Chan, Improved hybrid PSO-based wavelet neural network for modelling the development of fluid dispensing for electronic packaging, IEEE Trans. Industrial Electronic 55(9) (2008) 3447-3460.
    • (2008) IEEE Trans. Industrial Electronic , vol.55 , Issue.9 , pp. 3447-3460
    • Ling, S.H.1    Iu, H.H.C.2    Leung, F.H.F.3    Chan, K.Y.4
  • 29
    • 0030686913 scopus 로고    scopus 로고
    • Random keys genetic algorithm with adaptive penalty function for optimization of constrained facility layout problems
    • B. A. Norman and A. E. Smith, Random keys genetic algorithm with adaptive penalty function for optimization of constrained facility layout problems, Proc. IEEE Int. Conf. on Evolutionary Computation 1997 (1997) 407-411.
    • (1997) Proc. IEEE Int. Conf. on Evolutionary Computation , vol.1997 , pp. 407-411
    • Norman, B.A.1    Smith, A.E.2
  • 30
    • 34548769981 scopus 로고    scopus 로고
    • A genetic algorithm for scheduling parallel non-identical batch processing machines
    • DOI 10.1109/SCIS.2007.367682, 4218609, Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, CI-Sched 2007
    • S. Xu and J. C. Bean, A genetic algorithm for scheduling parallel non-identical batch processing machines, Proc. IEEE Symposium on Computational Intelligence in Scheduling (Honolulu, Hawaii, 2007), pp. 143-150. (Pubitemid 47431194)
    • (2007) Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, CI-Sched 2007 , pp. 143-150
    • Shubin, X.1    Bean, J.C.2
  • 31
    • 0033666935 scopus 로고    scopus 로고
    • Comparing inertia weights and constriction factors in particle swarm optimization
    • R. C. Eberhart and Y. Shi, Comparing inertia weights and constriction factors in particle swarm optimization, Proc. IEEE Congress on Evolutionary Computing (2000) 84-88.
    • (2000) Proc. IEEE Congress on Evolutionary Computing , pp. 84-88
    • Eberhart, R.C.1    Shi, Y.2
  • 34
    • 0029224965 scopus 로고
    • A genetic algorithm for flowshop sequencing
    • C. R. Reeves, A genetic algorithm for flowshop sequencing, Computers and Operations Research 22(1) (1995) 5-13.
    • (1995) Computers and Operations Research , vol.22 , Issue.1 , pp. 5-13
    • Reeves, C.R.1
  • 35
    • 78650704810 scopus 로고    scopus 로고
    • A hybrid particle swarm optimization with estimation of distribution algorithm for solving permutation flowshop scheduling problem
    • H. Liu, L. Gao and Q. Pan, A hybrid particle swarm optimization with estimation of distribution algorithm for solving permutation flowshop scheduling problem, Journal Expert Systems with Applications 38(4) (2011) 4348-4360.
    • (2011) Journal Expert Systems with Applications , vol.38 , Issue.4 , pp. 4348-4360
    • Liu, H.1    Gao, L.2    Pan, Q.3
  • 36
    • 0037278745 scopus 로고    scopus 로고
    • An effective hybrid heuristic for flow shop scheduling
    • L. Wang and D. Z. Zheng, An effective hybrid heuristic for flow shop scheduling, Int. J. Adv. Manuf. Technol. 21(1) (2003) 38-44.
    • (2003) Int. J. Adv. Manuf. Technol. , vol.21 , Issue.1 , pp. 38-44
    • Wang, L.1    Zheng, D.Z.2
  • 37
    • 33847661566 scopus 로고    scopus 로고
    • An effective PSO-Based mimetic algorithm for flow shop scheduling
    • L. Bo, et al., An Effective PSO-Based Mimetic Algorithm for Flow Shop Scheduling, IEEE Transactions on Systems, Man, and Cybernetics, Part B 37 (2007) 18-27.
    • (2007) IEEE Transactions on Systems, Man, and Cybernetics, Part B , vol.37 , pp. 18-27
    • Bo, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.