U ovom radu je predstavljena u literaturi jedna od najrasprostranjenijih heurističkih metoda koje se primenjuju za rešavanje problema optimizacije šeme gradilišta – Genetski Algoritam (GA). Analizirani su glavni aspekti optimizacije primenom GA i izvršena sistematizacija bitnih faktora koji utiču na sam postupak optimizacije od kojih zavisi mogućnost primene algoritma na različite probleme iz prakse. On ujedno predstavlja sažeti pregled relevantnih istraživanja u oblasti optimizacije šeme gradilišta primenom GA.)
Wang, Q., Tan, Y., & Mei, Z. (2019). Computational Methods of Acquisition and Processing of 3D Point Cloud Data for Construction Applications. Archives of Computational Methods in Engineering, 27(2), 479–499. https://doi.org/10.1007/s11831-019-09320-4
Niu, Y., Lu, W., Chen, K., Huang, G. G., & Anumba, C. (2016). Smart Construction Objects. Journal of Computing in Civil Engineering, 30(4). https://doi.org/10.1061/(asce)cp.1943-5487.0000550
Kim, C., Park, T., Lim, H., & Kim, H. (2013). On-site construction management using mobile computing technology. Automation in Construction, 35, 415–423. https://doi.org/10.1016/j.autcon.2013.05.027
Rohani, M., Shafabakhsh, G., Haddad, A., & Asnaashari, E. (2018). Strategy management of construction workspaces by conflict resolution algorithm and visualization model. Engineering, Construction and Architectural Management, 25(8), 1053–1074. https://doi.org/10.1108/ecam-08-2016-0183
Easa, S., Asce, M., & Hossain, K. (2008). New Mathematical Optimization Model for Construction Site Layout. J Constr Eng Manag, 8, 653–662. https://doi.org/10.1061/ASCE0733-93642008134:8653
Hammad, A. W. A., Rey, D., & Akbarnezhad, A. (2014). A Mixed-Integer Nonlinear Programming Model for Minimising Construction Site Noise Levels through Site Layout Optimisation. In Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC). International Association for Automation and Robotics in Construction (IAARC). https://doi.org/10.22260/isarc2014/0098
Sadeghpour, F., & Andayesh, M. (2015). The constructs of site layout modeling: an overview. Canadian Journal of Civil Engineering, 42(3), 199–212. https://doi.org/10.1139/cjce-2014-0303
Liao, T. W., Egbelu, P. J., Sarker, B. R., & Leu, S. S. (2011). Metaheuristics for project and construction management – A state-of-the-art review. Automation in Construction, 20(5), 491–505. https://doi.org/10.1016/j.autcon.2010.12.006
Vilventhan, A., & Kalidindi, S. N. (2016). Interrelationships of factors causing delays in the relocation of utilities. Engineering, Construction and Architectural Management, 23(3), 349–368. https://doi.org/10.1108/ecam-10-2014-0127
Kumar, S. S., & Cheng, J. C. P. (2015). A BIM-based automated site layout planning framework for congested construction sites. Automation in Construction, 59, 24–37. https://doi.org/10.1016/j.autcon.2015.07.008
Song, X., Xu, J., Shen, C., & Peña-Mora, F. (2016). Conflicts resolution based construction temporary facilities layout planning in large-scale construction projects. Canadian Journal of Civil Engineering, 43(9), 783–801. https://doi.org/10.1139/cjce-2015-0144
Cheng, M.-Y., & Chang, N.-W. (2018). Dynamic construction material layout planning optimization model by integrating 4D BIM. Engineering with Computers, 35(2), 703–720. https://doi.org/10.1007/s00366-018-0628-0
Moore, J. (1976). Facilities Design with Graph Theory and Strings. The International Journal of Management Science, 2, 193–203.
Yeh, I.-C. (1995). Journal of Computing in Civil Engineering, 3, 201–208.
Sanad, H., Ammar, M., & Ibrahim, M. (2008). J Constr Eng Manag, 7, 536–544. https://doi.org/10.1061/ASCE0733-93642008134:7536
Li, H., & Love, P. (1998). Site-lavel facilities layout using genetic algorithms. Journal of Computing in Civil Engineering, 227–231.
Barović, D. (2018). Oblikovanje i pozicioniranje objekta primenom numeričke optimizacije u cilju poboljšanja njegovih performansi u kontekstu energetske efikasnosti. Doktorska disertacija, Univerzitet "Union -Nikola Tesla.
Katoch, S., Chauhan, S. S., & Kumar, V. (2020). A review on genetic algorithm: past, present, and future. Multimedia Tools and Applications, 80(5), 8091–8126. https://doi.org/10.1007/s11042-020-10139-6
Mawdesley, M. J., & Al-Jibouri, S. H. (2003). Proposed genetic algorithms for construction site layout. Engineering Applications of Artificial Intelligence, 16(5–6), 501–509. https://doi.org/10.1016/j.engappai.2003.09.002
Tam, C., Tong, T., & Chan, W. (n.d.). Genetic Algorithm for Optimizing Supply Locations around Tower Crane. Jlurnal of Construction Engineering and Management, 4, 315–321.
Li, H., & Love, P. (2000). Genetic search for solving construction site-level unequal-area facility layout problems.
Hegazy, T., & Elbeltagi, E. (1999). EvoSite: Evolution-Based Model for ite layout planning. Journal of Computing in Civil Engineering, 3, 198–206.
Elbeltagi, E. (2000). 1, 24–30.
Osman, H. M., Georgy, M. E., & Ibrahim, M. E. (2003). A hybrid CAD-based construction site layout planning system using genetic algorithms. Automation in Construction, 12(6), 749–764. https://doi.org/10.1016/s0926-5805(03)00058-x
Elbeltagi, E., Asce, M., Hegazy, T., & Eldosouky, A. (2004). Dynamic Layout of Construction Temporary Facilities Considering Safety. J Constr Eng Manag, 4, 534–541. https://doi.org/10.1061/ASCE0733-93642004130:4534
Zouein, P., Asce, A., Harmanani, H., & Hajar, A. (2002). Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities. Journal of Computing in Civil Engineering, 2, 143–151. https://doi.org/10.1061/ASCE0887-3801200216:2143
El-Rayes, K., Asce, M., & Khalafallah, A. (2005). Trade-off between Safety and Cost in Planning Construction Site Layouts. Journal of Construction Engineering, 11, 1186–1195. https://doi.org/10.1061/ASCE0733-93642005131:111186
Khalafallah, A., & Hyari, K. H. (2018). Optimization Parameter Variation: Improving Biobjective Optimization of Temporary Facility Planning. Journal of Computing in Civil Engineering, 32(5). https://doi.org/10.1061/(asce)cp.1943-5487.0000780
Mawdesley, M., Saad, Al-Jibouri, H., & Yang, H. (2002). Genetic Algorithms for Construction Site Layout in Project Planning. J Constr Eng Manag, 5, 418–426. https://doi.org/10.1061/ASCE0733-93642002128:5418
Said, H., & El-Rayes, K. (2013). Performance of global optimization models for dynamic site layout planning of construction projects. Automation in Construction, 36, 71–78. https://doi.org/10.1016/j.autcon.2013.08.008
Duong, C., & Peansupap, V. (2023). A Development of Optimization Model for Construction Site Layout Planning Using Genetic Algorithm.
El-Rayes, K., Asce, M., & Said, H. (2009). Dynamic Site Layout Planning Using Approximate Dynamic Programming. Journal of Computing in Civil Engineering, 2, 119–127. https://doi.org/10.1061/ASCE0887-3801200923:2119
Elbeltagi, E., Hegazy, T., Hosny, A. H., & Eldosouky, A. (2001). Schedule-dependent evolution of site layout planning. Construction Management and Economics, 19(7), 689–697. https://doi.org/10.1080/01446190110066713
Abotaleb, I., Nassar, K., & Hosny, O. (2016). Layout optimization of construction site facilities with dynamic freeform geometric representations. Automation in Construction, 66, 15–28. https://doi.org/10.1016/j.autcon.2016.02.007
Zhou, F., AbouRizk, S. M., & AL-Battaineh, H. (2009). Optimisation of construction site layout using a hybrid simulation-based system. Simulation Modelling Practice and Theory, 17(2), 348–363. https://doi.org/10.1016/j.simpat.2008.09.011
Andayesh, M., & Sadeghpour, F. (2014). A Comparative Study of Different Approaches for Finding the Shortest Path on Construction Sites. Procedia Engineering, 85, 33–41. https://doi.org/10.1016/j.proeng.2014.10.526
Rahman, M. M., Bobadilla, L., Mostafavi, A., Carmenate, T., & Zanlongo, S. A. (2018). An Automated Methodology for Worker Path Generation and Safety Assessment in Construction Projects. IEEE Transactions on Automation Science and Engineering, 15(2), 479–491. https://doi.org/10.1109/tase.2016.2628898
Binhomaid, O. (2019).
El Meouche, R., Abunemeh, M., Hijaze, I., Mebarki, A., & Shahrour, I. (2018). Developing Optimal Paths for Evacuating Risky Construction Sites. Journal of Construction Engineering and Management, 144(2). https://doi.org/10.1061/(asce)co.1943-7862.0001413
ElNimr, A., Fagiar, M., & Mohamed, Y. (2016). Two-way integration of 3D visualization and discrete event simulation for modeling mobile crane movement under dynamically changing site layout. Automation in Construction, 68, 235–248. https://doi.org/10.1016/j.autcon.2016.05.013
Jaafar, K., Elbarkouky, R., & Kennedy, J. (2020). Construction site layout optimization model considering cost and safety in a dynamic environment. Asian Journal of Civil Engineering, 22(2), 297–312. https://doi.org/10.1007/s42107-020-00314-3
Lam, K.-C., Ning, X., & Lam, C.-K. (2009). Conjoining MMAS to GA to Solve Construction Site Layout Planning Problem. J Constr Eng Manag, 10, 1049–1057. https://doi.org/10.1061/ASCE0733-93642009135:101049
RazaviAlavi, S., & AbouRizk, S. (2017). Genetic Algorithm–Simulation Framework for Decision Making in Construction Site Layout Planning. Journal of Construction Engineering and Management, 143(1). https://doi.org/10.1061/(asce)co.1943-7862.0001213
Alanjari, P., Razavialavi, S., Abourizk, S., & Asce, M. (2015). Hybrid Genetic Algorithm-Simulation Optimization Method for Proactively Planning Layout of Material Yard Laydown. J Constr Eng Manag, 10, 1–7.
PHAM, D. T., & ONDER, H. H. (1992). A knowledge-based system for optimizing workplace layouts using a genetic algorithm. Ergonomics, 35(12), 1479–1487. https://doi.org/10.1080/00140139208967417
Singh Kochhar, J., Foster, B., & Heragu, S. (1998). HOPE: A Genetic Algorithm for the Unequal Area Facility Layout Problem. Comput Oper Res, 7/8, 583–594.
Wong, C., Fung, I., & Tam, C. (2010). Comparison of Using Mixed-Integer Programming and Genetic Algorithms for Construction Site Facility Layout Planning. J Constr Eng Manag, 10, 1116–1128. https://doi.org/10.1061/ASCECO.1943-7862.0000214
Farmakis, P. M., & Chassiakos, A. P. (2018). Genetic algorithm optimization for dynamic construction site layout planning. Organization, Technology and Management in Construction: An International Journal, 10(1), 1655–1664. https://doi.org/10.1515/otmcj-2016-0026
Zavari, M., Shahhosseini, V., Ardeshir, A., & Sebt, M. H. (2022). Multi-objective optimization of dynamic construction site layout using BIM and GIS. Journal of Building Engineering, 52, 104518. https://doi.org/10.1016/j.jobe.2022.104518
The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.