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Volumn 62, Issue 2, 2011, Pages 381-396

On the automatic discovery of variants of the NEH procedure for flow shop scheduling using genetic programming

Author keywords

genetic algorithms; genetic programming; heuristics; hyper heuristics; production

Indexed keywords

GENETIC PROGRAMMING; MACHINE SHOP PRACTICE; PRODUCTION; STOCHASTIC SYSTEMS;

EID: 78650321199     PISSN: 01605682     EISSN: 14769360     Source Type: Journal    
DOI: 10.1057/jors.2010.132     Document Type: Article
Times cited : (34)

References (57)
  • 1
    • 34548254543 scopus 로고    scopus 로고
    • An estimation of distribution algorithm for nurse scheduling
    • Aickelin U and Li J (2007). An estimation of distribution algorithm for nurse scheduling. Ann Opns Res 155: 289-309.
    • (2007) Ann Opns Res , vol.155 , pp. 289-309
    • Aickelin, U.1    Li, J.2
  • 2
    • 44649115391 scopus 로고    scopus 로고
    • Generating sat local-search heuristics using a gp hyperheuristic framework
    • MonmarchÉ N et al. (eds), Lecture Notes in Computer Science. Springer-Verlag: Berlin
    • Bader-El-Den M and Poli R (2008). Generating sat local-search heuristics using a gp hyperheuristic framework. In: MonmarchÉ N et al. (eds). Proceedings of Evolution Artificielle, Vol. 4926, of Lecture Notes in Computer Science. Springer-Verlag: Berlin, pp 37-49.
    • (2008) Proceedings of Evolution Artificielle , vol.4926 , pp. 37-49
    • Bader-El-Den, M.1    Poli, R.2
  • 3
    • 84888592177 scopus 로고    scopus 로고
    • An investigation of automated planograms using a simulated annealing based hyper-heuristic
    • Ibaraki T, Nonobe K and Yagiura M (eds), Springer: Berlin, Heidelberg, New York
    • Bai R and Kendall G (2005). An investigation of automated planograms using a simulated annealing based hyper-heuristic. In: Ibaraki T, Nonobe K and Yagiura M (eds). Metaheuristics: Progress as Real Problem Solvers-(Operations Research/ Computer Science Interfaces Series, Vol. 32). Springer: Berlin, Heidelberg, New York, pp 87-108.
    • (2005) Metaheuristics: Progress As Real Problem Solvers-(Operations Research/ Computer Science Interfaces Series) , vol.32 , pp. 87-108
    • Bai, R.1    Kendall, G.2
  • 4
    • 51349121874 scopus 로고    scopus 로고
    • Heuristic, meta-heuristic and hyper-heuristic approaches for fresh produce inventory control and shelf space allocation
    • Bai R, Burke EK and Kendall G (2008). Heuristic, meta-heuristic and hyper-heuristic approaches for fresh produce inventory control and shelf space allocation. J Opl Res Soc 59: 1387-1397.
    • (2008) J Opl Res Soc , vol.59 , pp. 1387-1397
    • Bai, R.1    Burke, E.K.2    Kendall, G.3
  • 7
    • 3042708858 scopus 로고    scopus 로고
    • Hyper-heuristics: An emerging direction in modern search technology
    • Glover F and Kochenberger G (eds), Springer: Berlin
    • Burke E, Hart E, Kendall G, Newall J, Ross P and Schulenburg S (2003a). Hyper-heuristics: An emerging direction in modern search technology. In: Glover F and Kochenberger G (eds). Handbook of Metaheuristics. Springer: Berlin, pp 457-474.
    • (2003) Handbook of Metaheuristics , pp. 457-474
    • Burke, E.1    Hart, E.2    Kendall, G.3    Newall, J.4    Ross, P.5    Schulenburg, S.6
  • 8
    • 1442283467 scopus 로고    scopus 로고
    • A tabu-search hyperheuristic for timetabling and rostering
    • Burke EK, Kendall G and Soubeiga E (2003b). A tabu-search hyperheuristic for timetabling and rostering. J Heuristics 9: 451-470.
    • (2003) J Heuristics , vol.9 , pp. 451-470
    • Burke, E.K.1    Kendall, G.2    Soubeiga, E.3
  • 9
    • 33750256074 scopus 로고    scopus 로고
    • Evolving bin packing heuristics with genetic programming
    • Runarsson TP et al. (eds). Proceedings of the 9th International Conference on Parallel Problem Solving from Nature (PPSN 2006) Springer: Berlin
    • Burke EK, Hyde M and Kendall G (2006a). Evolving bin packing heuristics with genetic programming. In: Runarsson TP et al. (eds). Proceedings of the 9th International Conference on Parallel Problem Solving from Nature (PPSN 2006), Vol. 4193 of Lecture Notes in Computer Science. Springer: Berlin, pp 860-869.
    • (2006) Lecture Notes in Computer Science , vol.4193 , pp. 860-869
    • Burke, E.K.1    Hyde, M.2    Kendall, G.3
  • 10
    • 31444449889 scopus 로고    scopus 로고
    • Multipleretrieval case based reasoning for course timetabling problems
    • Burke EK, MacCarthy BL, Petrovic S and Qu R (2006b).Multipleretrieval case based reasoning for course timetabling problems. J Opl Res Soc 57: 148-162.
    • (2006) J Opl Res Soc , vol.57 , pp. 148-162
    • Burke, E.K.1    MacCarthy, B.L.2    Petrovic, S.3    Qu, R.4
  • 11
    • 33646000026 scopus 로고    scopus 로고
    • Case-based heuristic selection for timetabling problems
    • Burke EK, Petrovic S and Qu R (2006c). Case-based heuristic selection for timetabling problems. J Sched 9: 115-132.
    • (2006) J Sched , vol.9 , pp. 115-132
    • Burke, E.K.1    Petrovic, S.2    Qu, R.3
  • 12
    • 78149236417 scopus 로고    scopus 로고
    • The scalability of evolved on line bin packing heuristics
    • Srinivasan D and Wang L (eds) . IEEE Computational Intelligence Society, IEEE Press: Singapore
    • Burke EK, Hyde MR, Kendall G and Woodward JR (2007a). The scalability of evolved on line bin packing heuristics. In: Srinivasan D and Wang L (eds). 2007 IEEE Congress on Evolutionary Computation. IEEE Computational Intelligence Society, IEEE Press: Singapore, pp 2530-2537.
    • (2007) 2007 IEEE Congress on Evolutionary Computation , pp. 2530-2537
    • Burke, E.K.1    Hyde, M.R.2    Kendall, G.3    Woodward, J.R.4
  • 13
    • 33748960402 scopus 로고    scopus 로고
    • A graph-based hyper-heuristic for educational timetabling problems
    • Burke EK, McCollum B, Meisels A, Petrovic S. and Qu R (2007b). A graph-based hyper-heuristic for educational timetabling problems. Eur J Opl Res 176: 177-192.
    • (2007) Eur J Opl Res , vol.176 , pp. 177-192
    • Burke, E.K.1    McCollum, B.2    Meisels, A.3    Petrovic, S.4    Qu, R.5
  • 14
    • 34548060381 scopus 로고    scopus 로고
    • Automatic heuristic generation with genetic programming: Evolving a jack-of-all-trades or a master of one
    • Thierens D et al. (eds). ACM: New York
    • Burke K, Hyde MR, Kendall G and Woodward J (2007c). Automatic heuristic generation with genetic programming: Evolving a jack-of-all-trades or a master of one. In: Thierens D et al. (eds). Proceedings of the 9th annual conference on Genetic and evolutionary computation, Vol. 2. ACM: New York, pp 1559-1565.
    • (2007) Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation , vol.2 , pp. 1559-1565
    • Burke, K.1    Hyde, M.R.2    Kendall, G.3    Woodward, J.4
  • 15
    • 79958199379 scopus 로고    scopus 로고
    • Chap. A Classification of Hyper-heuristic Approaches. International Series in Operations Research & Management Science. Springer: Berlin
    • Burke K, Hyde MR, Kendall G, Ochoa G, Ozcan E and Woodward J (2009). Handbook of Metaheuristics. Chap. A Classification of Hyper-heuristic Approaches. International Series in Operations Research & Management Science. Springer: Berlin.
    • (2009) Handbook of Metaheuristics
    • Burke, K.1    Hyde, M.R.2    Kendall, G.3    Ochoa, G.4    Ozcan, E.5    Woodward, J.6
  • 17
    • 84901458708 scopus 로고    scopus 로고
    • An investigation of a hyperheuristic genetic algorithm applied to a trainer scheduling problem
    • Fogel DB et al. (eds), IEEE: Portland, USA
    • Cowling P, Kendall G and Han L (2002). An investigation of a hyperheuristic genetic algorithm applied to a trainer scheduling problem. In: Fogel DB et al. (eds). Proceedings of Congress on Evolutionary Computation (CEC2002). IEEE: Portland, USA, pp 1185-1190.
    • (2002) Proceedings of Congress on Evolutionary Computation (CEC2002) , pp. 1185-1190
    • Cowling, P.1    Kendall, G.2    Han, L.3
  • 19
    • 84901444525 scopus 로고    scopus 로고
    • A genetic programming heuristic for the one-machine total tardiness problem
    • Angeline J et al. (eds), IEEE: Portland, USA
    • Dimopoulos C and Zalzala AMS (1999). A genetic programming heuristic for the one-machine total tardiness problem. In: Angeline J et al. (eds). Proceedings of the 1999 Congress on Evolutionary Computation (CEC '99). IEEE: Portland, USA, pp 2207-2214.
    • (1999) Proceedings of the 1999 Congress on Evolutionary Computation (CEC '99) , pp. 2207-2214
    • Dimopoulos, C.1    Ams, Z.2
  • 20
    • 0035370796 scopus 로고    scopus 로고
    • Investigating the use of genetic programming for a classic one-machine scheduling problem
    • Dimopoulos C and Zalzala AMS (2001). Investigating the use of genetic programming for a classic one-machine scheduling problem. Adv Eng Software 32: 489-498.
    • (2001) Adv Eng Software , vol.32 , pp. 489-498
    • Dimopoulos, C.1    Zalzala, A.M.S.2
  • 21
    • 1442349643 scopus 로고
    • Probabilistic learning combinations of local job-shop scheduling rules
    • Muth JF (ed), Carnegie Institute of Technology: Pittsburgh, USA
    • Fisher H and Thompson GL (1961). Probabilistic learning combinations of local job-shop scheduling rules. In: Muth JF (ed). In Factory Scheduling Conference. Carnegie Institute of Technology: Pittsburgh, USA, pp 225-251.
    • (1961) Factory Scheduling Conference , pp. 225-251
    • Fisher, H.1    Thompson, G.L.2
  • 22
    • 9744246863 scopus 로고    scopus 로고
    • A review and classification of heuristics for permutation flow-shop scheduling with makespan objective
    • Framinan JM, Gupta JND and Leisten R (2004). A review and classification of heuristics for permutation flow-shop scheduling with makespan objective. Int Prod Res Soc 55: 1243-1255.
    • (2004) Int Prod Res Soc , vol.55 , pp. 1243-1255
    • Framinan, J.M.1    Gupta, J.N.D.2    Leisten, R.3
  • 23
    • 0037578177 scopus 로고    scopus 로고
    • Different initial sequences for the heuristic of Nawaz, Enscore and Ham to minimize makespan, idletime or fiowtime in the static permutation flowshop sequencing problem
    • Framinan JM, Leisten R and Rajendran C (2003). Different initial sequences for the heuristic of Nawaz, Enscore and Ham to minimize makespan, idletime or fiowtime in the static permutation flowshop sequencing problem. Int Prod Res 41: 121-148.
    • (2003) Int Prod Res , vol.41 , pp. 121-148
    • Framinan, J.M.1    Leisten, R.2    Rajendran, C.3
  • 24
    • 0036923148 scopus 로고    scopus 로고
    • Automated discovery of composite SAT variable selection heuristics
    • Dechter R and Sutton R (eds), AAAI press: Edmonton, Canada
    • Fukunaga A (2002). Automated discovery of composite SAT variable selection heuristics. In: Dechter R and Sutton R (eds). Proceedings of the National Conference on Artificial Intelligence (AAAI). AAAI press: Edmonton, Canada, pp 641-648.
    • (2002) Proceedings of the National Conference on Artificial Intelligence (AAAI) , pp. 641-648
    • Fukunaga, A.1
  • 26
    • 42449117713 scopus 로고    scopus 로고
    • Automated discovery of local search heuristics for satisfiability testing
    • Fukunaga AS (2008). Automated discovery of local search heuristics for satisfiability testing. Evol Comput 16(1): 31-61.
    • (2008) Evol Comput , vol.16 , Issue.1 , pp. 31-61
    • Fukunaga, A.S.1
  • 27
    • 27144540137 scopus 로고    scopus 로고
    • A genetic algorithm for hybrid flow shops with sequence dependent setup times and machine elegibility
    • García RR and Maroto C (2006). A genetic algorithm for hybrid flow shops with sequence dependent setup times and machine elegibility. Eur J Opl Res 169: 781-800.
    • (2006) Eur J Opl Res , vol.169 , pp. 781-800
    • García, R.R.1    Maroto, C.2
  • 28
    • 30344458483 scopus 로고    scopus 로고
    • Rapid modeling and discovery of priority dispatching rules: An autonomous learning approach
    • Geiger CD, Uzsoy R and Aytuǧ H (2006). Rapid modeling and discovery of priority dispatching rules: An autonomous learning approach. J Sched 9: 7-34.
    • (2006) J Sched , vol.9 , pp. 7-34
    • Geiger, C.D.1    Uzsoy, R.2    Aytuǧ, H.3
  • 29
    • 74849101820 scopus 로고
    • Optimization and approximation in deterministic sequence and scheduling: A survey
    • Graham RL, Lawler EL, Lenstra JK and Rinnooy Kan AHG (1979). Optimization and approximation in deterministic sequence and scheduling: A survey. Ann Discrete Math 5: 287-326.
    • (1979) Ann Discrete Math , vol.5 , pp. 287-326
    • Graham, R.L.1    Lawler, E.L.2    Lenstra, J.K.3    Rinnooy Kan, A.H.G.4
  • 30
    • 33748181887 scopus 로고    scopus 로고
    • On the NEH heuristic for minimizing the makespan in permutation flowshops
    • Kalczynski PJ and Kamburowski J (2007). On the NEH heuristic for minimizing the makespan in permutation flowshops. OMEGA-Int J Mngt Sci 35: 53-60.
    • (2007) OMEGA-Int J Mngt Sci , vol.35 , pp. 53-60
    • Kalczynski, P.J.1    Kamburowski, J.2
  • 31
    • 55749111191 scopus 로고    scopus 로고
    • Linear genetic programming of parsimonious metaheuristics
    • Srinivasan D and Wang L (eds), IEEE: Portland, USA
    • Keller RE and Poli R (2007a). Linear genetic programming of parsimonious metaheuristics. In: Srinivasan D and Wang L (eds). Proceedings of IEEE Congress on Evolutionary Computation (CEC 2007). IEEE: Portland, USA, pp 4508-4515.
    • (2007) Proceedings of IEEE Congress on Evolutionary Computation (CEC 2007) , pp. 4508-4515
    • Keller, R.E.1    Poli, R.2
  • 32
    • 44649138150 scopus 로고    scopus 로고
    • Cost-benefit investigation of a genetic-programming hyperheuristic
    • MonmarchÉ N et al. (eds) Proceedings of Evolution Artificielle, Springer-Verlag: Berlin
    • Keller RE and Poli R (2007b). Cost-benefit investigation of a genetic-programming hyperheuristic. In: MonmarchÉ N et al. (eds). Proceedings of Evolution Artificielle, Vol. 4926 of Lecture Notes in Computer Science. Springer-Verlag: Berlin, pp 13-24.
    • (2007) Lecture Notes in Computer Science , vol.4926 , pp. 13-24
    • Keller, R.E.1    Poli, R.2
  • 34
    • 33745748879 scopus 로고    scopus 로고
    • Optimizing the initialization of dynamic decision heuristics in DPLL SAT solvers using genetic programming
    • Collet P et al. (eds) Proceedings of the 9th European Conference on Genetic Programming, Springer-Verlag: Berlin
    • Kibria RH and Li Y (2006). Optimizing the initialization of dynamic decision heuristics in DPLL SAT solvers using genetic programming. In: Collet P et al. (eds). Proceedings of the 9th European Conference on Genetic Programming, Vol. 3905 of Lecture Notes in Computer Science. Springer-Verlag: Berlin, pp 331-340.
    • (2006) Lecture Notes in Computer Science , vol.3905 , pp. 331-340
    • Kibria, R.H.1    Li, Y.2
  • 40
    • 4344586070 scopus 로고    scopus 로고
    • Evolving evolutionary algorithms for function optimization
    • Chen K et al. (eds) . The Research Triangle Park: N Carolina, USA
    • Oltean M (2003). Evolving evolutionary algorithms for function optimization. In: Chen K et al. (eds). Proceedings of the 5th International Workshop on Frontiers in Evolutionary Algorithms. The Research Triangle Park: N Carolina, USA, pp 295-298.
    • (2003) Proceedings of the 5th International Workshop on Frontiers in Evolutionary Algorithms , pp. 295-298
    • Oltean, M.1
  • 41
    • 25144485345 scopus 로고    scopus 로고
    • Evolving evolutionary algorithms using linear genetic programming
    • Oltean M (2005). Evolving evolutionary algorithms using linear genetic programming. Evol Comput 13: 387-410.
    • (2005) Evol Comput , vol.13 , pp. 387-410
    • Oltean, M.1
  • 43
    • 0020699921 scopus 로고
    • A heuristic algorithm for the m-machine, n-job flow-shop sequencing problem
    • Nawaz M, Enscore Jr. E and Ham I (1983). A heuristic algorithm for the m-machine, n-job flow-shop sequencing problem. OMEGA-Int J Mngt Sci 11(1): 91-95.
    • (1983) OMEGA-Int J Mngt Sci , vol.11 , Issue.1 , pp. 91-95
    • Nawaz, M.1    Enscore Jr., E.2    Ham, I.3
  • 47
    • 65549161963 scopus 로고    scopus 로고
    • Published via, and freely available at http://www.gp-field-guide.org.uk. With contributions by J. R. Koza
    • Poli R, Langdon WB and McPhee NF (2008). A field guide to genetic programming. Published via http://lulu.com and freely available at http://www.gp-field-guide.org.uk. With contributions by J. R. Koza.
    • (2008) A Field Guide to Genetic Programming
    • Poli, R.1    Langdon, W.B.2    McPhee, N.F.3
  • 48
    • 78049530433 scopus 로고    scopus 로고
    • A combined metaheuristic with hyper-heuristic approach to the scheduling of the hybrid flow shop with sequence dependent setup times and uniform machines
    • Baptiste P, Kendall G, Munier-Kordon A and Sourd F (eds), MISTA: Paris, France
    • Rodríguez JAV, Petrovic S and Salhi A (2007). A combined metaheuristic with hyper-heuristic approach to the scheduling of the hybrid flow shop with sequence dependent setup times and uniform machines. In: Baptiste P, Kendall G, Munier-Kordon A and Sourd F (eds). Proceedings of the 3rd Multidisciplinary International Conference on Scheduling: Theory and Applications. MISTA: Paris, France, pp 506-513.
    • (2007) Proceedings of the 3rd Multidisciplinary International Conference on Scheduling: Theory and Applications , pp. 506-513
    • Rodríguez, J.A.V.1    Petrovic, S.2    Salhi, A.3
  • 51
    • 13444251134 scopus 로고    scopus 로고
    • A comprehensive review and evaluation of permutation flowshop heuristics
    • Ruiz R and Maroto C (2005). A comprehensive review and evaluation of permutation flowshop heuristics. Eur Opl Res 165: 479-494.
    • (2005) Eur Opl Res , vol.165 , pp. 479-494
    • Ruiz, R.1    Maroto, C.2
  • 52
    • 33750841084 scopus 로고    scopus 로고
    • A simple and effective iterated greedy algorithm for the permutation flowshop scheduling problem
    • Ruiz R and Stützle TG (2007). A simple and effective iterated greedy algorithm for the permutation flowshop scheduling problem. Eur Opl Res 177: 2033-2049.
    • (2007) Eur Opl Res , vol.177 , pp. 2033-2049
    • Ruiz, R.1    Stützle, T.G.2
  • 53
    • 34548634818 scopus 로고    scopus 로고
    • Minimizing the number of late jobs for the permutation flowshop problem with secondary resources
    • Ruiz-Torres AJ and Centeno G (2008). Minimizing the number of late jobs for the permutation flowshop problem with secondary resources. Comput Opns Res 35: 1227-1249.
    • (2008) Comput Opns Res , vol.35 , pp. 1227-1249
    • Ruiz-Torres, A.J.1    Centeno, G.2
  • 54
    • 0025700701 scopus 로고
    • Some efficient heuristic methods for the flow shop sequencing problem
    • Taillard E (1990). Some efficient heuristic methods for the flow shop sequencing problem. Eur Opl Res 47: 65-74.
    • (1990) Eur Opl Res , vol.47 , pp. 65-74
    • Taillard, E.1
  • 55
    • 0027201278 scopus 로고
    • Benchmarks for basic scheduling problems
    • Taillard E (1993). Benchmarks for basic scheduling problems. Eur J Op Res 64: 278-285.
    • (1993) Eur J Op Res , vol.64 , pp. 278-285
    • Taillard, E.1
  • 56
    • 38849162891 scopus 로고    scopus 로고
    • Evolving dispatching rules using genetic programming for solving multi-objective flexible job-shop problems
    • Tay JC and Ho NB (2008). Evolving dispatching rules using genetic programming for solving multi-objective flexible job-shop problems. Comput Ind Eng 54: 453-473.
    • (2008) Comput Ind Eng , vol.54 , pp. 453-473
    • Tay, J.C.1    Ho, N.B.2


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