Page 209 - 2024-Vol20-Issue2
P. 209
205 | Al-mtory, Alnahwi & Ali
Second international conference on innovative comput- [23] H. Eskandar, A. Sadollah, A. Bahreininejad, and
ing, Informatio and Control (ICICIC 2007), pp. 391– M. Hamdi, “Water cycle algorithm–a novel metaheuris-
391, IEEE, 2007. tic optimization method for solving constrained engi-
neering optimization problems,” Computers & Struc-
[13] X.-S. Yang, “A new metaheuristic bat-inspired algo- tures, vol. 110, pp. 151–166, 2012.
rithm,” in Nature inspired cooperative strategies for
optimization (NICSO 2010), pp. 65–74, Springer, 2010. [24] H. Shayeghi and J. Dadashpour, “Anarchic society op-
timization based pid control of an automatic voltage
[14] D. Teodorovic and M. Dell’Orco, “Bee colony regulator (avr) system,” Electrical and electronic engi-
optimization–a cooperative learning approach to com- neering, vol. 2, no. 4, pp. 199–207, 2012.
plex transportation problems,” Advanced OR and AI
methods in transportation, vol. 51, p. 60, 2005. [25] P. Civicioglu, “Artificial cooperative search algorithm
for numerical optimization problems,” Information Sci-
[15] X.-S. Yang, J. M. Lees, and C. T. Morley, “Application of ences, vol. 229, pp. 58–76, 2013.
virtual ant algorithms in the optimization of cfrp shear
strengthened precracked structures,” in International [26] D. H. Wolpert and W. G. Macready, “No free lunch
Conference on Computational Science, pp. 834–837, theorems for optimization,” IEEE transactions on evolu-
Springer, 2006. tionary computation, vol. 1, no. 1, pp. 67–82, 1997.
[16] F. M. Alnahwi, Y. I. Al-Yasir, D. Sattar, R. S. Ali, C. H. [27] C. M. Hansson, “The impact of corrosion on society,”
See, and R. A. Abd-Alhameed, “A new optimization al- Metallurgical and Materials Transactions A, vol. 42,
gorithm based on the fungi kingdom expansion behavior pp. 2952–2962, 2011.
for antenna applications,” Electronics, vol. 10, no. 17,
p. 2057, 2021. [28] Z. Szklarska-Smialowska and ZS-Smialowska, Pitting
and crevice corrosion, vol. 446. NACE international
[17] D. Simon, “Biogeography-based optimization,” IEEE Houston, TX, 2005.
transactions on evolutionary computation, vol. 12, no. 6,
pp. 702–713, 2008. [29] C. Andrade and C. Alonso, “Corrosion rate monitoring
in the laboratory and on-site,” Construction and building
[18] Y. Shi, “An optimization algorithm based on brainstorm- materials, vol. 10, no. 5, pp. 315–328, 1996.
ing process,” in Emerging Research on Swarm Intelli-
gence and Algorithm Optimization, pp. 1–35, IGI Global, [30] M. I. I. Bin, “Computational model of pitting corrosion,”
2015. 2013.
[19] C. J. Bastos Filho, F. B. de Lima Neto, A. J. Lins, A. I. [31] Z. Ahmad, Principles of corrosion engineering and cor-
Nascimento, and M. P. Lima, “A novel search algorithm rosion control. Elsevier, 2006.
based on fish school behavior,” in 2008 IEEE inter-
national conference on systems, man and cybernetics, [32] N. Perez, Electrochemistry and corrosion science.
pp. 2646–2651, IEEE, 2008. Springer, 2004.
[20] M. M. Eusuff and K. E. Lansey, “Optimization of water [33] E. E. Stansbury and R. A. Buchanan, Fundamentals of
distribution network design using the shuffled frog leap- electrochemical corrosion. ASM international, 2000.
ing algorithm,” Journal of Water Resources planning
and management, vol. 129, no. 3, pp. 210–225, 2003. [34] M. G. Fontana, N. D. Greene, et al., Corrosion engineer-
ing. McGraw-hill, 2018.
[21] A. Hatamlou, “Black hole: A new heuristic optimiza-
tion approach for data clustering,” Information sciences, [35] G. Frankel, “Pitting corrosion,” 2003.
vol. 222, pp. 175–184, 2013.
[36] H. Kaesche, Corrosion of metals: physicochemical prin-
ciples and current problems. Springer Science & Busi-
ness Media, 2012.
[22] A. Kaveh and S. Talatahari, “A novel heuristic optimiza- [37] M. Molga and C. Smutnicki, “Test functions for opti-
tion method: charged system search,” Acta mechanica, mization needs,” Test functions for optimization needs,
vol. 213, no. 3, pp. 267–289, 2010. vol. 101, p. 48, 2005.
