Genetic algorithm optimization for dynamic construction site layout planning

Andayesh, M., & Sadeghpour, F. (2013). Dynamic site layout planning through minimization of total potential energy. Automation in Construction, 31, 92-102.10.1016/j.autcon.2012.11.039Search in Google Scholar

Calis, G., & Yuksel, O. (2010). A comparative study for layout planning of temporary construction facilities: Optimization by using ant colony algorithms. In: Proceedings of the 13th International Conference on Computing in Civil and Building Engineering, Nottingham, UK, p. 267.Search in Google Scholar

Chandratre, K. V., & Nandurkar, K. N. (2011). Applying genetic algorithm to dynamic layout problem. International Journal of Applied, 1(3), pp. 1-9.Search in Google Scholar

Chau, K. W. (2004). A two-stage dynamic model on allocation of construction facilities with genetic algorithm. Automation in Construction, 13(4), pp. 481-490.10.1016/j.autcon.2004.02.001Search in Google Scholar

Cheung, S. O., Tong, T. K. L., & Tam, C. M. (2002). Site pre-cast yard layout arrangement through genetic algorithms. Automation in Construction, 11(1), pp. 35-46.10.1016/S0926-5805(01)00044-9Search in Google Scholar

Elbeltagi, E., Hegazy, T., & Eldosouky, A. (2004). Dynamic layout of construction temporary facilities considering safety. Journal of Construction Engineering and Management, 130(4), pp. 534-541.10.1061/(ASCE)0733-9364(2004)130:4(534)Search in Google Scholar

El-Rayes, K., & Khalafallah, A. (2005). Trade-off between safety and cost in planning construction site layouts. Journal of Construction Engineering and Management, 131(11), pp. 1186-1195.10.1061/(ASCE)0733-9364(2005)131:11(1186)Search in Google Scholar

Farmakis, P. M., & Chassiakos, A. P. (2017). Dynamic multi-objective layout planning of construction sites. Procedia Engineering, 196, pp. 674-681.10.1016/j.proeng.2017.08.057Search in Google Scholar

Gharaie, E., Afshar, A., & Jalali, M. R. (2006, February). Site layout optimization with ACO algorithm. In: Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, February 15 - 17, 2006, Madrid, Spain, pp. 90-94.Search in Google Scholar

Gholizadeh, R., Amiri, G. G., & Mohebi, B. (2010). An alternative approach to a harmony search algorithm for a construction site layout problem. Canadian Journal of Civil Engineering, 37(12), pp. 1560-1571.10.1139/L10-084Search in Google Scholar

Huang, C., & Wong, C. K. (2015). Optimisation of site layout planning for multiple construction stages with safety considerations and requirements. Automation in Construction, 53, pp. 58-68.10.1016/j.autcon.2015.03.005Search in Google Scholar

Kumar, S. S., & Cheng, J. C. (2015). A BIM-based automated site layout planning framework for congested construction sites. Automation in Construction, 59, pp. 24-37.10.1016/j.autcon.2015.07.008Search in Google Scholar

Lam, K. C., Ning, X., & Lam, M. C. K. (2009). Conjoining MMAS to GA to solve construction site layout planning problem. Journal of Construction Engineering and Management, 135(10), pp. 1049-1057.10.1061/(ASCE)0733-9364(2009)135:10(1049)Search in Google Scholar

Lam, K. C., Ning, X., & Ng, T. (2007). The application of the ant colony optimization algorithm to the construction site layout planning problem. Construction Management and Economics, 25(4), pp. 359-374.10.1080/01446190600972870Search in Google Scholar

Li, H., & Love, P. E. (1998). Site-level facilities layout using genetic algorithms. Journal of Computing in Civil Engineering, 12(4), pp. 227-231.10.1061/(ASCE)0887-3801(1998)12:4(227)Search in Google Scholar

Li, H., & Love, P. E. (2000). Genetic search for solving construction site-level unequal-area facility layout problems. Automation in Construction, 9(2), pp. 217-226.10.1016/S0926-5805(99)00006-0Search in Google Scholar

Lien, L. C., & Cheng, M. Y. (2012). A hybrid swarm intelligence based particle-bee algorithm for construction site layout optimization. Expert Systems with Applications, 39(10), pp. 9642-9650.10.1016/j.eswa.2012.02.134Search in Google Scholar

Mawdesley, M. J., Al-Jibouri, S. H., & Yang, H. (2002). Genetic algorithms for construction site layout in project planning. Journal of Construction Engineering and Management, 128(5), pp. 418-426.10.1061/(ASCE)0733-9364(2002)128:5(418)Search in Google Scholar

Ning, X., & Lam, K. C. (2013). Cost-safety trade-off in unequal-area construction site layout planning. Automation in Construction, 32, pp. 96-103.10.1016/j.autcon.2013.01.011Search in Google Scholar

Ning, X., Lam, K. C., & Lam, M. C. K. (2010). Dynamic construction site layout planning using max- min ant system. Automation in Construction, 19(1), pp. 55-65.10.1016/j.autcon.2009.09.002Search in Google Scholar

Papadaki, I. N., & Chassiakos, A. P. (2016). Multi-objective construction site layout planning using genetic algorithms. Procedia Engineering, 164, pp. 20-27.10.1016/j.proeng.2016.11.587Search in Google Scholar

Said, H., & El-Rayes, K. (2013). Performance of global optimization models for dynamic site layout planning of construction projects. Automation in Construction, 36, pp. 71-78.10.1016/j.autcon.2013.08.008Search in Google Scholar

Sanad, H. M., Ammar, M. A., & Ibrahim, M. E. (2008). Optimal construction site layout considering safety and environmental aspects. Journal of Construction Engineering and Management, 134(7), pp. 536-544.10.1061/(ASCE)0733-9364(2008)134:7(536)Search in Google Scholar

Tam, C. M., Tong, T. K., Leung, A. W., & Chiu, G. W. (2002). Site layout planning using nonstructural fuzzy decision support system. Journal of Construction Engineering and Management, 128(3), pp. 220-231.10.1061/(ASCE)0733-9364(2002)128:3(220)Search in Google Scholar

Wong, C. K., Fung, I. W. H., & Tam, C. M. (2010). Comparison of using mixed-integer programming and genetic algorithms for construction site facility layout planning. Journal of Construction Engineering and Management, 136(10), pp. 1116-1128.10.1061/(ASCE)CO.1943-7862.0000214Search in Google Scholar

Xu, J., & Li, Z. (2012). Multi-objective dynamic construction site layout planning in fuzzy random environment. Automation in Construction, 27, pp. 155-169.10.1016/j.autcon.2012.05.017Search in Google Scholar

Yahya, M., & Saka, M. P. (2014). Construction site layout planning using multi-objective artificial bee colony algorithm with Levy flights. Automation in construction, 38, pp. 14-29.10.1016/j.autcon.2013.11.001Search in Google Scholar

Yeh, I. C. (1995). Construction-site layout using annealed neural network. Journal of Computing in Civil Engineering, 9(3), pp. 201-208.10.1061/(ASCE)0887-3801(1995)9:3(201)Search in Google Scholar

Zhang, H., & Wang, J. Y. (2008). Particle swarm optimization for construction site unequal-area layout. Journal of Construction Engineering and Management, 134(9), pp. 739-748.10.1061/(ASCE)0733-9364(2008)134:9(739)Search in Google Scholar

Zouein, P. P., & Tommelein, I. D. (1999). Dynamic layout planning using a hybrid incremental solution method. Journal of Construction Engineering and Management, 125(6), pp. 400-408.10.1061/(ASCE)0733-9364(1999)125:6(400)Search in Google Scholar

Zouein, P. P., & Tommelein, I. D. (2001). Improvement algorithm for limited space scheduling. Journal of Construction Engineering and Management, 127(2), pp. 116-124.10.1061/(ASCE)0733-9364(2001)127:2(116)Search in Google Scholar