Overview of Harmony Search (HS) Algorithm for Green Manufacturing Industries

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The successful optimization process of machining parameters is significantly important to the green manufacturing industries. However, the optimization process of machining problem is difficult to solve using conventional optimization techniques. Hence, the computational approach methodology such as Harmony Search (HS) is considered as an alternative way for optimization process in manufacturing industries. This paper discusses the overview of Harmony Search (HS) to optimize the machining parameters in machining process. Example of previous works that applied HS algorithm in machining optimization problems are also discussed.

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413-416

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November 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] X.C. Tan, F. Liu, H.J. Cao, and H. Zhang: J. Mater. Process. Technol. Vol. 129: 1-3, (2002), pp.467-470.

Google Scholar

[2] Y. Yusoff, M.S. Ngadiman, and A.M. Zain: Procedia Eng, Vol. 15 (2011), pp.3978-3983.

Google Scholar

[3] A.M. Zain, H. Haron, and S. Sharif: Review of ANN technique for modelling surface roughness performance measure in machining process, (2009 Third Asia International Conference on Modelling & Simulation, IEEE 2009).

DOI: 10.1109/ams.2009.78

Google Scholar

[4] A.M. Deris, A.M. Zain, and R. Salehuddin: Procedia Eng. Vol. 24, (2011), pp.308-312.

Google Scholar

[5] A.M. Deris, A.M. Zain, and R. Salehuddin: Meccanica Vol. 48, (2013), p.1937-(1945).

Google Scholar

[6] S. Chatterjee, K. Abhishek, R. Kumar, and S.S. Mahapatra: Optimization of drilling process parameters by Harmony Search Algorithm, (IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014), IEEE, (2014).

DOI: 10.1109/icraie.2014.6909278

Google Scholar

[7] A.M. Zain, H. Haron, and S. Sharif: Appl. soft comput. Vol. 11 (2011), pp.5350-5359.

Google Scholar

[8] A.M. Zain, H. Haron, and S. Sharif: Int. J. Computer Integr. Manuf. Vol 24 (2011), pp.574-592.

Google Scholar

[9] N. Zainal, A.M. Zain, N.H.M. Radzi, and M.R. Othman: J. Intell. Manuf. (2014), pp.1-8.

Google Scholar

[10] A. Mohamad, A.M. Zain: Applied Mechanics and Materials Vol. 421, (2013), p.502–506.

Google Scholar

[11] Z.W. Geem, J.H. Kim, and G.V. Loganathan: Simulation Vol. 76 (2001), p.60–68.

Google Scholar

[12] S.A. Patil, and D.A. Patel: International Journal of Engineering Science and Innovative Technology (IJESIT) Vol. 2 (2013). 433-444.

Google Scholar

[13] O. Zarei, M. Fesanghary, B. Farshi, R.J. Saffar and M.R. Razfa: Journ J. Mater. Process. Technol. Vol. 209-5 (2009), pp.2386-2392.

Google Scholar

[14] D. V. S. S. S. V. Prasad and A. Gopala Krishna: Int. J. Adv. Manuf. Technol. Vol 77 1-4 (2014), pp.427-441.

Google Scholar

[15] M.R. Razfar, R.F. Zinati, and M. Haghshena: Int. J. Adv. Manuf. Technol. Vol 52. 5-8 (2011), pp.487-495.

Google Scholar

[16] K. Abhishek, S. Datta, S. Chatterjee, amd S.S. Mahapatra: Applied mechanics and material Vol. 619 (2014), pp.54-57.

Google Scholar

[17] M.B. Nagarchi, and D.A. Patel: International journal of engineering development and research 2: 2 (2014), pp.1722-1729.

Google Scholar

[18] X. Jia, X. Deng, and J. Su: Advanced Material Research Vol. 471-475 (2012), pp.1809-1812.

Google Scholar

[19] A.R. Yildiz: International Journal of Industrial Engineering Vol. 15: 3, (2013), pp.286-293.

Google Scholar