Skip to main content
Have a personal or library account? Click to login
Genetic Algorithm Modification for Production Scheduling Cover

Genetic Algorithm Modification for Production Scheduling

Foundations of Computing and Decision Sciences
Volume 38 (2013): Issue 4 (December 2013)
By:  and    
Open Access
|Dec 2013
References

References

  1. [1] Barney J.B., Clark D.N.,, Oxford University Press, New York 2007, 18.
    Search in Google Scholar
  2. [2] Beksiak J.,PWN, Warsaw 2001, 112.
    Search in Google Scholar
  3. [3] Błażewicz, J., Domschke, W., Pesch, E., The job shop scheduling problem: Conventional and new solution techniques., 93, 1996, 1-30.
    Open DOISearch in Google Scholar
  4. [4] Eiben A.E., Smith J.E.,, Springer, Berlin 2008.
    Search in Google Scholar
  5. [5] Gao J., Gen M., Sun L. A hybrid of genetic algorithm and bottleneck shifting for flexible job shop scheduling problem, GECCO '06:, ACM 2006, 1158.
    Search in Google Scholar
  6. [6] Goldberg D.E.,, Dorling Kindersley Pvt Ltd, New Delhi 2008, 17.
    Search in Google Scholar
  7. [7] Grimes D., Hebrard E., Model and strategies for variants of the job shop scheduling problem,, Springer-Verlag, Berlin 2011.
    Open DOISearch in Google Scholar
  8. [8] Gromicho J.A.S., van Hoorn J.J., Saldanha da Gamma F., Timmer G.T., Solving the job shop scheduling problem optimally by dynamic programming,; 39, 12, 2012, 2968-2977, DOI: 10.1016/j.cor.2012.02.024
    Open DOISearch in Google Scholar
  9. [9] Manolas D.A., Gialamas T., Tsahalis D.T. A genetic algorithm for the simultaneous optimization of the sensor and actuator positions for an active noise and/or vibration control system,, 96, 1996, 1187-1191.
    Search in Google Scholar
  10. [10] Pająk E.,, PWN, Warsaw 2006, 28, 202-232.
    Search in Google Scholar
  11. [11] Qing-dao-er-ji R., Yuping W., A new hybrid genetic algorithm for job shop scheduling problem,, 39, 10, 2011 DOI: 10.1016/j.cor.2011.12.005.
    Open DOISearch in Google Scholar
  12. [12] Rutkowski L.,, PWN Warsaw 2005, 233.
    Search in Google Scholar
  13. [13] Sikora W.,, PWE, Warsaw 2008, 212.
    Search in Google Scholar
  14. [14] Waters D.,, Pearson Education Limited, Essex 2002, 220.
    Search in Google Scholar
  15. [15] Zhenyuan J., Xiaohong L., Jiangyuan Y., Defeng J., Research on job-shop scheduling problem based on genetic algorithm,49, 12, 2011 DOI: 10.1080/00207543.2010.481293.
    Open DOISearch in Google Scholar
DOI: https://doi.org/10.2478/fcds-2013-0015 | Journal eISSN: 2300-3405 (formerly 0867-6356) | Journal ISSN: 0867-6356
Journal RSS Feed
Language: English
Page range: 299 - 309
Published on: Dec 4, 2013
Published by: Poznan University of Technology
In partnership with: Paradigm Publishing Services
Keywords:
production scheduling,
the job shop problem with machines overlapping and omission,
production scheduling heuristics,
genetic algorithm
Related subjects:
Computer sciences,
Software development

© 2013 Tomasz Brzęczek, Dariusz Nowak, published by Poznan University of Technology
This work is licensed under the Creative Commons License.

Volume 38 (2013): Issue 4 (December 2013)
Previous article