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Research Article Peer ReviewedAt least two reviewers Open Access

Dual-Resource Constrained Flexible Job Shop Scheduling Problem with Weighted Superposition Attraction Algorithm

1Abdullah Gül University
2Dokuz Eylül University
✉ Corresponding author: Fatma Selen MADENOĞLU · selen.madenoglu@agu.edu.tr
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References

  1. Baykasoğlu, A., and Özbakır, L. (2010). Analyzing the effect of dispatching rules on the scheduling performance through grammar based flexible scheduling system. International Journal of Production Economics, 124(2), 369- 381.
  2. ElMaraghy, H., Patel, V., and Abdallah, I. B. (1999). A genetic algorithm based approach for scheduling of dual-resource constrainded manufacturing systems. CIRP Annals-Manufacturing Technology, 48(1), 369-372.
  3. Liu, X. X., Liu, C. B., and Tao, Z. (2011). Research on bi-objective scheduling of dual-resource constrained flexible job shop. In Advanced Materials Research (Vol. 211, pp. 1091-1095). Trans Tech Publications.
  4. Zhang, J., Jie, J., Wang, W., and Xu, X. (2017). A hybrid particle swarm optimisation for multi-objective flexible job-shop scheduling problem with dual-resources constrained. International Journal of Computing Science and Mathematics, 8(6), 526-532.
  5. Zhang, J., Wang, W., and Xu, X. (2017). A hybrid discrete particle swarm optimization for dual-resource constrained job shop scheduling with resource flexibility. Journal of Intelligent Manufacturing, 28(8), 1961-1972.
  6. Yazdani, M., Zandieh, M., Tavakkoli-Moghaddam, R., and Jolai, F. (2015). Two meta-heuristic algorithms for the dual-resource constrained flexible job-shop scheduling problem. Scientia Iranica, 22(3), 1242-1257.
  7. Zheng, X. L., and Wang, L. (2016). A knowledge-guided fruit fly optimization algorithm for dual resource constrained flexible job-shop scheduling problem. International Journal of Production Research, 54(18), 5554-5566.
  8. Lei, D., and Guo, X. (2014). Variable neighbourhood search for dualresource constrained flexible job shop scheduling. International Journal of Production Research, 52(9), 2519-2529.
  9. Baykasoğlu, A., and Akpinar, Ş. (2017). Weighted Superposition Attraction (WSA): A swarm intelligence algorithm for optimization problems – Part 2: Constrained optimization, Applied Soft Computing, 37, 396–415.
  10. Baykasoğlu, A., and Akpinar, Ş. (2015). Weighted Superposition Attraction (WSA): A swarm intelligence algorithm for optimization problems – Part 1: Unconstrained optimization, Applied Soft Computing, 56, 520–540.
  11. Baykasoğlu, A., and Karaslan, F. S. (2017). Solving comprehensive dynamic job shop scheduling problem by using a GRASP-based approach, International Journal of Production Research, 55(11), 3308–3325.
  12. Baykasoğlu, A., and Şenol, M. E. (2019). Weighted Superposition Attraction Algorithm for Combinatorial Optimization. Expert Systems with Applications, https://doi.org/10.1016/j.eswa.2019.07.009

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Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
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