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Applying the Modified Cuckoo Search to the Customisation of an Industrial Pre-mixer

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EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization (EngOpt 2018)

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Abstract

The Modified Cuckoo Search was used to customise the design of a pre-mixer for use in a pressure let-down station heater. This is a true industrial test application for this novel optimisation algorithm. A commercial-off-the-shelf (COTS) mixer was used as a bench mark to assess the impact of Modified Cuckoo Search. In addition to customisation of the pre-mixer’s design using Modified Cuckoo Search, the commercial Ansys Design Exploration v16.0 software was applied to the problem. This package utilises the Non-Dominated Sorted Genetic Algorithm-II (NSGA-II). The results of our study showed that by using these optimisation algorithms at least a 30% improvement in the performance as compared to the COTS design could be achieved. Further to this, it was found that the free and open source Modified Cuckoo Search performed comparatively to the commercial package Ansys. This will be significant for small to medium sized enterprises who are often limited by budget constraints to using off the shelf devices.

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References

  1. Reh, S., Beley, J.D., Mukherjee, S., Khor, E.H.: Struct. Saf. 28(1), 17 (2006)

    Google Scholar 

  2. ANSYS, Inc.: Design exploration user guide v14.0 (2012). http://www.ansys.com

  3. Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: IEEE Trans. Evol. Comput. 6(2), 182 (2002)

    Google Scholar 

  4. Evins, R.: Renew. Sustain. Energy Rev. 22, 230 (2013)

    Google Scholar 

  5. Walton, S., Hassan, O., Morgan, K., Brown, M.: Chaos Solitons & Fractals 44(9), 710 (2011)

    Google Scholar 

  6. Thompson, J., Walton, S., Hassan, O., Rolland, S., Sienz, J.: Structural and Multidisciplinary Optimization, pp. 1–13 (2017). https://doi.org/10.1007/s00158-016-1643-7

  7. Baukal Jr., C.E.: The John Zink Hamworthy Combustion Handbook: Volume 1-Fundamentals. CRC Press (2012)

    Google Scholar 

  8. Bussman, W.: B. CE Energy 34(10), 1624 (2009)

    Google Scholar 

  9. Porter, M.E., Van der Linde, C.: J. Econ. Perspect., 97–118 (1995)

    Google Scholar 

  10. Danardono, D., Kim, K., Lee, S., Lee, J.: J. Mech. Sci. Technol. 25(9), 2285 (2011)

    Google Scholar 

  11. Thompson, J.: The development of simulation procedures for industrial mixing processes. Ph.D. thesis. Swansea University (2015)

    Google Scholar 

  12. Thompson, J., Hassan, O., Carswell, D., Lavery, N., Rolland, S., Sienz, J.: Proceedings of the 22nd UK Conference of the Association for Computational Mechanics in Engineering. ACME (2014)

    Google Scholar 

  13. Pronzato, L., Müller, W.: Stat. Comput. 22(3), 681 (2012)

    Google Scholar 

  14. Rijpkema, J., Etman, L., Schoofs, A.: Optim. Eng. 2(4), 469 (2001)

    Google Scholar 

  15. Lebaal, N., Nouari, M., Ginting, A.: Appl. Soft Comput. 11(8), 5110 (2011)

    Google Scholar 

  16. Khalkhali, A., Mostafapour, M., Tabatabaie, S.M., Ansari, B.: Struct. Multi. Optim., 1–17 (2016)

    Google Scholar 

  17. Azadjalal, M.M., Moradi, P., Abdollahpouri, A., Jalili, M.: Knowl.-Based Syst. 116, 130 (2017)

    Google Scholar 

  18. ANSYS, Inc.: Fluent user guide v14.0 (2012). http://www.ansys.com

  19. Yang, X.S., Deb, S.: World Congress on Nature & Biologically Inspired Computing, NaBIC 2009, pp. 210–214. IEEE (2009)

    Google Scholar 

  20. Rajabioun, R.: Appl. Soft Comput. 11(8), 5508 (2011)

    Google Scholar 

  21. Viswanathan, G., Raposo, E., Da Luz, M.: Phys. Life Rev. 5(3), 133 (2008)

    Google Scholar 

  22. Walton, S., Hassan, O., Morgan, K.: Arch. Comput. Methods Eng. 20(2), 123 (2013). https://doi.org/10.1007/s11831-013-9083-7

  23. Walton, S., Brown, M.R., Hassan, O., Morgan, K.: Fluid Phase Equilibria (2013). https://doi.org/10.1016/j.fluid.2013.05.011

  24. Walton, S.: Open source project (2011). http://code.google.com/p/modified-cs/

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Thompson, J.S., Walton, S., Hassan, O., Sienz, J. (2019). Applying the Modified Cuckoo Search to the Customisation of an Industrial Pre-mixer. In: Rodrigues, H., et al. EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization. EngOpt 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-97773-7_120

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  • DOI: https://doi.org/10.1007/978-3-319-97773-7_120

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-97773-7

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