Skip to main content
Log in

Total production time minimization of a multi-pass milling process via cuckoo optimization algorithm

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

The milling process is a widely used conventional machining operation. Due to economic reasons, the multi-pass milling process is more convenient. However, the required time for machining increases and an optimization solution must be undertaken. In this paper, the total production time is minimized by resorting to a powerful bio-inspired algorithm, called the cuckoo optimization algorithm. The constraints are successfully handled and the optimal results are compared with those available in the literature. It is shown that the present results are better.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. R. Venkata Rao. (2010) Modeling and optimization of machining processes. In Advanced modeling and optimization of manufacturing processes. UK: Springer London, 2010, ch. 2, pp. 55–175

  2. Sonmez AI, Baykasoglu A, Dereli T, Filiz IH (1999) Dynamic optimization of multipass milling operations via geometric programming. Int J Mach Tools Manuf 39(2):297–320

    Article  Google Scholar 

  3. Wang ZG, Rahman M, Wong YS, Sun J (2005) Optimization of multi-pass milling using parallel genetic algorithm and parallel genetic simulated annealing. Int J Mach Tools Manuf 45(15):1726–1734

    Article  Google Scholar 

  4. Onwubolu GC (2006) Performance-based optimization of multi-pass face milling operations using Tribes. Int J Mach Tools Manuf 56(7–8):717–727

    Article  Google Scholar 

  5. Gao L, Huang J, Li X (2012) An effective cellular particle swarm optimization for parameters optimization of a multi-pass milling process. Appl Soft Comput 12(11):3490–3499

    Article  Google Scholar 

  6. Venkata Rao R, Pawar PJ (2010) Parameter optimization of a multi-pass milling process using non-traditional optimization algorithms. Appl Soft Comput 10(2):445–456

    Article  Google Scholar 

  7. Yang Y, Li X, Gao L (2013) Parameters optimization of a multi-pass milling process based on imperialist competitive algorithm. In 2013 I.E. 17th International Conference on Computer Supported Cooperative Work in Design, Whistler, Canada, 2013, pp. 406–410

  8. Pawar PJ, Venkata Rao R (2013) Parameter optimization of machining processes using teaching–learning-based optimization algorithm. Int J Adv Manuf Technol 67(5):995–1006

    Article  Google Scholar 

  9. Huang J, Gao L, Li X (2015) An effective teaching-learning-based cuckoo search algorithm for parameter optimization problems in structure designing and machining processes. Appl Soft Comput 36:349–356

    Article  Google Scholar 

  10. Rajabioun R (2011) Cuckoo optimization algorithm. Appl Soft Comput 11(8):5508–5518

    Article  Google Scholar 

  11. Rabiee M, Sajedi H (2013) Job scheduling in grid computing with cuckoo optimization algorithm. Int J Comput Appl 62(16):38–44

    Google Scholar 

  12. Mellal MA, Williams EJ (2014) Parameter optimization of advanced machining processes using cuckoo optimization algorithm and hoopoe heuristic. J Intell Manuf. doi:10.1007/s10845-014-0925-4

    Google Scholar 

  13. Mellal MA, Williams EJ (2015) Cuckoo optimization algorithm for unit production cost in multi-pass turning operations. Int J Adv Manuf Technol 76(1):647–656

    Article  Google Scholar 

  14. Roozitalab A, Asgharizadeh E (2013) Optimizing the warranty period by cuckoo meta-heuristic algorithm in heterogeneous customers’ population. J Ind Eng Int 9(27):1–6

    Google Scholar 

  15. Mellal MA, Adjerid S, Williams EJ, Benazzouz D (2012) Optimal replacement policy for obsolete components using cuckoo optimization algorithm based-approach: Dependability context. J Sci Ind Res 71(11):715–721

    Google Scholar 

  16. Mellal MA, Adjerid S, Williams EJ (2013) Optimal selection of obsolete tools in manufacturing systems using cuckoo optimization algorithm. Chem Eng Trans 33:355–360

    Google Scholar 

  17. Addeh J, Ebrahimzadeh A, Azarbad M, Ranaee V (2014) Statistical process control using optimized neural networks: a case study. ISA Trans 53(5):1489–1499

    Article  Google Scholar 

  18. Mellal MA, Williams EJ (2015) Cuckoo optimization algorithm with penalty function for combined heat and power economic dispatch problem. Energy 93:1711–1718

    Article  Google Scholar 

  19. Smith AE, Coit DW (1997) Constraint handling techniques–penalty functions. In Handbook of Evolutionary Computation.: Oxford University Press and Institute of Physics Publishing, ch. 5.2-1–5.2-6

  20. Mezura-Montes E, Coello Coello CA (2011) Constraint-handling in nature-inspired numerical optimization: past, present and future. Swarm and Evol Comput 1(4):173–194

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mohamed Arezki Mellal.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mellal, M.A., Williams, E.J. Total production time minimization of a multi-pass milling process via cuckoo optimization algorithm. Int J Adv Manuf Technol 87, 747–754 (2016). https://doi.org/10.1007/s00170-016-8498-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-016-8498-3

Keywords

Navigation