[1] Mat Lazim Zakaria, (1978). “Bahan dan Binaan,” Dewan Bahasa dan Pustaka.
[2] Mohd Roji Samidi, (1997). “First report research project on lightweight concrete,” Universiti Teknologi Malaysia, Skudai, Johor Bahru.
[3] Islam, H., K., Fathi, M., S., and Manaf, N., B., (2004). “Study of lightweight concrete behavior,” Vol. No. 71908.
[4] Jafari, S., Mahini, S, S., (2017). “Lightweight concrete design using gene expression programming.” Construction and Building Material, Vol. 139, pp. 93-100.
[5] ACI 213R-87, (1987). “Guide for Structural Lightweight Aggregate Concrete.”
[6] R.D. Sturm, N. Mc Ashkill, R.G. Burg, and D.R. Morgan. “Evolution of Lightweight Concrete Performance in 55 to 80 Year Old Ship,” ACI publication, SP 189-7.
[7] Shale and Slate Institute, “Advantages of Structural Lightweight Aggregate Concrete”. Expanded Clay, www.escsi.org.
[8] Gonen, T, (2015). “Mechanical and Fresh Properties of Fiber Reinforced Self-Compacting Lightweight Concrete”, Scientia Iranica, A 22(2), pp. 313-318.
[9] Bogas,J.A., Gomes, M.G. and Gomes, A., (2013). “Compressive strength evaluation of structural lightweight concrete by non-destructive ultrasonic pulse velocity method”, Ultrasonic 53, pp. 962–972.
[10] Hadianfard, M.A., Jafari, S., (2016). “Prediction of Lightweight Aggregate Concrete Compressive Strength Using Ultrasonic Pulse Velocity Test Through Gene Expression Programming”, International Journal of Science and Technology (Scientia Iranica), Transaction A, vol. 23(6), pp. 2506-2513.
[11] Nehdi, M., Chabib, H. E., Naggar, A., (2001). “Prediction performance of self-compacting concrete mixtures using artificial neural networks”, ACI Material Journal, 198(5).
[12] Manish, A., Kewalramani.Rajiv G., (2006). “Concrete compressive strength prediction using pulse velocity through artificial neural networks”, Elsevier, Automation in Construction 15.
[13] Trtnik, G., Kavaĉiĉ, F., Turk, G., (2009). “Prediction of concrete strength using ultrasonic pulse velocity and artificial neural networks, Elsevier, Ultrasonic 49.
[14] Ferreira, c., (2001). “Gene expression programming: A new adaptive algorithm for solving problems,” Complex Syst., vol. 13, no. 2, pp. 87–129.
[15] Ferreira, C., (2006). “Gene Expression Programming: Mathematical Modelling by an Artificial Intelligence,” New York: Springer- Verlag.
[16] Zhou, W. Xiao, T. M. Tirpak, and P. C. Nelson, (2003). “Evolving accurate and compact classification rules with gene expression programming,” IEEE Trans. Evolut. Comput, Vol. 7, No. 6, pp. 519–531.
[17] J. Zuo, C.-J. Tang, C. Li, C.-A. Yuan, and A.-L. Chen, (2004). “Time series prediction based on gene expression programming,” in International Conference on Web-Age Information Management. Berlin Heidelberg: Springer, pp. 55–64.
[18] J. Zhong, L. Luo, W. Cai, and M. Lees, (2014). “Automaticrule identification for agent-based crowd models through gene expression programming,” in Proc. Int. Conf. Autonomous Agents and Multiagent Systems, Int. Foundation for Autonomous Agents and Multiagent Systems. ACM, pp. 1125–1132.
[19] N. R. Sabar, M. Ayob, G. Kendall, and R. Qu, (2015). “A dynamic multiarmed bandit-gene expression programming hyper-heuristic for combinatorial optimization problems,” IEEE Trans. Evolut. Comput., Vol. 45, No. 2, pp. 217–228.
[20] J. Zhong, Y.-S. Ong, and W. Cai, (2016). “Self-learning gene expression programming,” IEEE Trans. Evolut. Comput., Vol. 20, No. 1, pp. 65–80.
[21] Facaoaru, I., (1970). “Non-destructive testing of concrete in Romania. Symposium on NDT of concrete and timber”, London: Institute of Civil Engineers, pp. 39.
[22] Malhotra, V., (1976). “Nondestructive Methods”, Detroit. MI, ACI Monograph, No, 9.
[23] Gaydecki, P., Burdekin, F., Damaj, W., John, D., Payne, P., (1992). “The propagation and attenuation of medium frequency ultrasonic pulses in concrete”, a signal analytical approach, MeasSciTechnol.3:126–33.
[24] Kewalramani, M. A., Gupta, R., (2006). “Concrete compressive strength prediction using pulse velocity through artificial neural networks”, Elsevier, Automation in Construction 15.
[25] Mousavi, S.M., Aminian, P., Gandomi, A.H., Alavi, A.H., Bolandi, H., (2012). “A new predictive model for compressive strength of HPC using gene expression programming”, Advances in Engineering Software, 45, pp. 105–114.
[26] Fakharian, P., Naderpour, H., Haddad A., Rafiean A.H., Rezazadeh Eidgahee, D, (2017). “A Proposed Model for Compressive Strength Prediction of FRP-Confined Rectangular Columns in terms of Genetic Expression Programming (GEP)”, Journal of Concrete Research.
[27] Ebteaj, I., Bonakdari, H., (2017). “No-deposition Transport in Sewer Using Gene Expression Programming”, Journal of Soft Computing in Civil Engineering, vol. 1, pp. 29-53.
[28] ASTM C 330, (2002). “Standard Specification for Lightweight Aggregates for Structural Concrete”.
[29] ACI 211.2., (1998). “Standard Practice for Selecting Proportions for Structural Light Wight Concrete”, Reported by ACI Committee 211.2.
[30] ACI 304.5R91, (1997). “Batching, Mixing and Job Control of Lightweight Concrete”, Reported by ACI Committee 304.
[31] ASTM C 127, (2007). “Standard Test Method for Density, Relative Density (Specific Gravity) and Absorption of Coarse Aggregate”.
[32] ASTM C 29, (2007).”Standard Test Method for Bulk Density and Voids in Aggregates”.
[33] ASTM C 597, (2009). “Standard Test Method for Pulse Velocity through Concrete”.
[34] Hasan, M., Kabir, A., (2013). “Early Age Tests to Predict 28 Days Compressive Strength of Concrete”, AWAM International Conference of Civil Engineering and Geohazard Informational Zonation, pp. 234-241.
[35] CIP 35, (2003). “Testing Compressive Strength of Concrete”, Concrete in Practice, NRMCA.
[36] ASTM C 39, (1983). “Standard Test Method for Compressive Strength of Cylindrical Concrete Specimens”.
[37] ASTM C 138/C 138 M, (2001). “Standard Test Method for Density (Unite Weight), Yield and Air Content (Gravimetric) of Concrete”.
[38] Bastos, A, M., Sousa, H., Melo, A, F., (2005). “Methodology for the Design of Lightweight Concrete with Expanded Clay Aggregates,” TSM Journal.
[39] Johari, A., Nakhaee, M., (2013). “Prediction of Unsaturated Soils Effective Stress Parameter Using Gene Expression Programming”, International Journal of Science and Technology (Scientia Iranica), Transaction A, vol. 20(50), pp. 1433-1444.
[40] Nakhaee, M., Johari, A., (2013). “Genetic-Based Modeling of Undrained Lateral Load Capacity of Piles in Cohesive Soil”, Global Journal of Science, Engineering and Technology, Issue 5, pp. 123-133.
[41] Neville, A. M., (1981). “Properties of concrete”, 3rd edition, Pitman publishing limited, London.