401
Views
31
CrossRef citations to date
0
Altmetric
Original Articles

Multi-objective fuzzy flexible job shop scheduling using memetic algorithm

, , &
Pages 2828-2846 | Received 03 Oct 2016, Accepted 17 Jun 2017, Published online: 29 Jun 2017

References

  • Garey M, Johnson D, Sethi R. The complexity of flow shop and job shop scheduling. Math Oper Res. 1976;1:147–168. doi: 10.1287/moor.1.2.117
  • Lei D. A genetic algorithm for flexible job shop scheduling with fuzzy processing time. Int J Prod Res. 2010;48:2995–3013. doi: 10.1080/00207540902814348
  • Lei D. Co-evolutionary genetic algorithm for fuzzy flexible job shop scheduling. Appl Soft Comput. 2012;12:2237–2245. doi: 10.1016/j.asoc.2012.03.025
  • Palacios J, Inés GR, Camino RV, et al. Coevolutionary makespan optimisation through different ranking methods for the fuzzy flexible job shop. Fuzz Set Syst. 2015;278:81–97. doi: 10.1016/j.fss.2014.12.003
  • Wang L, Zhou G, Xu Y, et al. A hybrid artificial bee colony algorithm for the fuzzy flexible job-shop scheduling problem. Int J Prod Res. 2013;51:3593–3608. doi: 10.1080/00207543.2012.754549
  • Palacios J, González MA, Vela CR, et al. Genetic tabu search for the fuzzy flexible job shop problem. Comput Oper Res. 2015;54:74–89. doi: 10.1016/j.cor.2014.08.023
  • Gao KZ, Suganthan PN, Pan QK, et al. An effective discrete harmony search algorithm for flexible job shop scheduling problem with fuzzy processing time. Int J Prod Res. 2015;53:5896–5911. doi: 10.1080/00207543.2015.1020174
  • Wang SY, Wang L, Xu Y, et al. An effective estimation of distribution algorithm for the flexible job-shop scheduling problem with fuzzy processing time. Int J Prod Res. 2013;51:3778–3793. doi: 10.1080/00207543.2013.765077
  • Xu Y, Wang L, Wang SY, et al. An effective teaching-learing-based optimization algorithm for the flexible job-shop scheduling problem with fuzzy processing time. Neurocomputing. 2015;148:260–268. doi: 10.1016/j.neucom.2013.10.042
  • Lin J. A hybrid biogeography optimization for the fuzzy flexible job-shop scheduling problem. Knowl-Based Syst. 2015;78:59–74. doi: 10.1016/j.knosys.2015.01.017
  • Wang XJ, Gao L, Zhang CY, et al. A multi-objective genetic algorithm for fuzzy flexible job-shop scheduling problem. Int J Comput Appl Technol. 2012;45:115–125. doi: 10.1504/IJCAT.2012.050700
  • Wang XJ, Li WF, Zhang Y. An improved multi-objective genetic algorithm for fuzzy flexible job-shop scheduling problem. Int J Comput Appl Technol. 2013;47:280–288. doi: 10.1504/IJCAT.2013.054360
  • Zheng YL, Li XY, Lei DM. Multi-objective swarm-based neighborhood search for fuzzy flexible job shop scheduling. Int J Adv Manuf Tech. 2012;60:1063–1069. doi: 10.1007/s00170-011-3646-2
  • Deb k, Pratap A, Agarwal S, et al. A fast and elitist multiobjective genetic algorithm:NSGA-II. IEEE Trans Evol Comput. 2002;6:182–197. doi: 10.1109/4235.996017
  • Lei DM, Guo XP. Swarm-based neighbourhood search algorithm for fuzzy flexible job shop scheduling. Int J Prod Res. 2012;50:1639–1649. doi: 10.1080/00207543.2011.575412
  • Sakawa M, Kubota R. Fuzzy programming for multi-objective job shop scheduling with fuzzy processing time and fuzzy due date through genetic algorithm. European J Oper Res. 2000;120:393–407. doi: 10.1016/S0377-2217(99)00094-6
  • Liang XC, Chen SF. Multiple attribute decision making method based on trapezoid fuzzy linguistic variable. J Southeast Univ. 2008;24:478–481.
  • Zhao SK, Fang SL, Gu XJ. Machine selection and FJSP solution based on limit scheduling completion time minimization. Comput Integr Manuf. 2014;20:854–865 (in Chinese).
  • Zhang GH, Gao L, Shi Y. An effective genetic algorithm for the flexible job-shop scheduling problem. Expert Syst Appl. 2011;38:3563–3573. doi: 10.1016/j.eswa.2010.08.145
  • Chiang T, Lin H. A simple and effective algorithm for multiobjective flexible job shop scheduling. Int J Prod Res. 2013;141:87–98. doi: 10.1016/j.ijpe.2012.03.034
  • Brandimarte P. Routing and scheduling in a flexible job shop by tabu search. Ann Oper Res. 1993;41:157–183. doi: 10.1007/BF02023073
  • Pezzella F, Morganti G, Cia G. A genetic algorithm for the flexible job-shop scheduling problem. Comput Oper Res. 2008;35:3202–3212. doi: 10.1016/j.cor.2007.02.014
  • Baker kR. Introduction to sequencing and scheduling. NewYork: Wiley; 1974.
  • Yuan Y, Xu H. Multiobjective flexible job shop using memetic algorithm. IEEE Trans Autom Sci Eng. 2015;12:336–353. doi: 10.1109/TASE.2013.2274517
  • Tan YY, Jiao YC, Li H, et al. MOEA/D + uniform design: a new version of MOEA/D for optimization problems with many objectives. Comput Oper Res. 2013;40:1648–1660. doi: 10.1016/j.cor.2012.01.001
  • Montgomery DC. Design and analysis of experiments. NewYork: Wiley; 2004.
  • Ziter E, Thiele L, Laumanns M, et al. Performance assessment of multiobjective optimizers: an analysis and review. IEEE Trans Evol Comput. 2003;7:117–132. doi: 10.1109/TEVC.2003.810758
  • Demar J. Statistical comparisons of classifiers over multiple data sets. J Mach Learn Res. 2006;7:1–30.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.