پیوندهای مفید
آمار
| تعداد نشریات | 21 |
| تعداد شمارهها | 679 |
| تعداد مقالات | 9,894 |
| تعداد مشاهده مقاله | 70,071,884 |
| تعداد دریافت فایل اصل مقاله | 49,360,114 |
Optimization of construction site layout planning with combination of metaheuristic algorithms | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 10 خرداد 1404 اصل مقاله (1018.26 K) | ||
| نوع مقاله: Review articles | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2024.33972.5070 | ||
| نویسندگان | ||
| Seyedeh Sima Shahebrahimi1؛ Alireza Lorak* 2؛ Davood Sedaghat Shayegan1؛ Ali Asghar Amir Kardoust1 | ||
| 1Department of Civil Engineering, Roudehen Branch, Islamic Azad University, Tehran, Iran | ||
| 2Department of Civil Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran | ||
| تاریخ دریافت: 11 اردیبهشت 1403، تاریخ پذیرش: 03 تیر 1403 | ||
| چکیده | ||
| Safety is important in construction site layout plans, and it is an essential requirement to improve construction project management. Previous studies considered the safety objective function without risk factor analysis. Metaheuristics are widely used to solve construction site layout problems (CSLP). Invasive Weed Optimization (IWO) is employed as a multi-objective optimization method to design and optimize two safety objective functions and total cost. Safety objective functions (due to potential risks arising from hazardous sources and interaction flows) connect temporary facilities by considering total cost reduction. A case study is presented to find out the accuracy of the proposed model. Finally, the performance of four metaheuristic algorithms called Invasive Weed Optimization (IWO), Firefly Algorithm (FA) and Ant Colony Optimization (ACO), previously studied by researchers, is compared in terms of their effectiveness in resolving a practical construction site layout problem. To take advantage of a more optimal response, a combination of firefly and weed algorithms was also investigated. Results show that the combination of FA and IWO algorithms works better than ACO, FA and IWO algorithms separately. | ||
| کلیدواژهها | ||
| invasive weed optimization algorithm؛ firefly algorithm؛ construction site layout planning (CSLP)؛ multi-objective optimization model | ||
| مراجع | ||
|
[1] M.A. Abdelmegid, K.M. Shawki, and H. Abdel-Khalek, GA optimization model for solving tower crane location problem in construction sites, Alex. Eng. J. 54 (2015), no. 3, 519–526. [2] M. Abunemeh, R.E. Meouch, I. Hijaze, A. Mebarki, and I. Shahrour, Optimal construction site layout based on risk spatial variability, Autom. Constr. 70 (2016), 167–177. [3] A.M. Adrian, A. Utamima, and K.J. Wang, A comparative study of GA, PSO and ACO for solving construction site layout optimization, KSCE J. Civ. Eng. 19 (2015), no. 3, 520–527. [4] M. Andayesh and F. Sadeghpour, A comparative study of different approaches for finding the shortest path on construction sites, Creative Const. Conf., 2014, pp. 33–41. [5] K. El-Rayes and A. Khalafallah, Trade-off between safety and cost in planning construction site layouts, J. Const. Eng. Manag. 131 (2005), no. 11, 1186–1195. [6] M.D. Fernandez, S. Quintana, N. Chavarr´ıa, and J.A. Ballesteros, Noise exposure of workers of the construction sector, Appl. Acoust. 70 (2009), 753–760. [7] I. Fister, I. Fister Jr, X.S. Yang, and J. Brest, A comprehensive review of firefly algorithms, Swarm Evol. Comp. 13 (2013), 34–46. [8] A. Ghadiri, D. Sedaghat Shayegan, and A. Amirkardoust, Multi-objective firefly optimization algorithm for construction site layout planning, Iran. J. Optim. 14 (2022), no. 4, 245–260. [9] R. Gholizadeh, G.G. Amiri, and B. Mohebi, An alternative approach to a harmony search algorithm for a construction site layout problem, Can. J. Civ. Eng. 37 (2010), no. 12, 1560–1571. [10] A.W.A. Hammad, A. Akbarnezhad, and D. Rey, A multi-objective mixed integer on- linear programming model for construction site layout planning to minimise noise pollution and transport costs, Autom. Const. 61 (2016), 73–85. [11] C. Huang and C.K. Wong, Discretized cell modelling for optimal facility layout plans of unequal and irregular facilities, J. Const. Eng. Manag. 143 (2016), no. 1, p. 04016082. [12] F. Karray, E. Zaneldin, T. Hegazy, and A.H.M. Shabeeb, Tools of soft computing as applied to the problem of facilities layout planning, IEEE Trans. Fuzzy Syst. 8 (2000), no. 4, 367–379. [13] A. Kaveh and M. Rastegar Moghaddam, A hybrid WOA-CBO algorithm for construction site layout planning problem, Sci. Iran. 25 (2018), no. 3, 1094–1104. [14] K.C. Lam, C.M. Tang, and W.C. Lee, Application of the entropy technique and genetic algorithms to construction site layout planning of medium-size projects, Const. Manag. Econ. 23 (2005), no. 2, 127–145. [15] L.C. Lien and M.Y. Cheng, Particle bee algorithm for tower crane layout with material quantity supply and demand optimization, Autom. Const. 45 (2014), 25–32. [16] A.R. Mehrabian and C. Lucas, A novel numerical from weed colonization, Ecol. Inf. 1 (2006), 366–355. [17] Ministry of Housing and Urban-Rural Development of the People’s Republic of China (MOHURD), Statistical analysis of construction industry development (2016), Beijing, China, http://www.mohurd.gov.cn/xytj/tjzljsxytjgb/xjxxqt/w02017052321346623070743428.pdf, 2017. [18] S.A. Mirjalili and A. Lewis, The whale optimization algorithm, Adv. Eng. Softw. 95 (2016), 51–67. [19] E. Moradi and M. Bidkhori, Single facility location problem, R. Zanjirani Farahani and M. Hekmatfar (eds), Facility location, Contributions to Management Science, Physica, Heidelberg, 2009, pp. 37–68. [20] X. Ning and K.C. Lam, Cost-safety trade-off in unequal-area construction site layout planning, Autom. Const. 32 (2013), 96–103. [21] X. Ning, K.C. Lam, and M.C.K. Lam, Dynamic construction site layout planning using max-min ant system, Autom. Constr. 19 (2010), 55–65. [22] X. Ning, J. Qi, C. Wu, and W. Wang, A tri-objective ant colony optimization-based model for planning safe construction site layout, Aut. Const. 89 (2018), 1–12. [23] F.G. Paes, A.A. Pessoa, and T. Vidal, A hybrid genetic algorithm with decomposition phases for the unequal area facility layout problem, Eur. J. Oper. Res. 256 (2017), 742–756. [24] A.A. Saberi and D. Sedaghat Shayegan, Optimization of Haraz dam reservoir operation using CBO metaheuristic algorithm, Int. J. Optim. Civil Eng. 11 (2021), no. 4, 581–592. [25] A. Safari, An ant-colony optimization clustering model for cellular automata routing in wireless sensor networks, Iran. J. Optim. 12 (2020), no. 2, 139–147. [26] D. Sedaghat Shayegan, Optimum cost design of reinforced concrete slabs using a metaheuristic algorithm, Int. J. Optim. Civil Eng. 12 (2022), no. 4, 545–555. [27] D. Sedaghat Shayegan, A. Lork, and A.H. Hashemi, Mouth brooding fish algorithm for cost optimization of reinforced concrete one-way ribbed slabs, Int. J. Optim. Civil Eng. 9 (2019), no. 3, 411–422. [28] D. Sedaghat Shayegan, A. Lork, and A.H. Hashemi, Optimum cost design of reinforced concrete slabs using Mouth Brooding Fish (MBF) algorithm, J. Appl. Eng. Sci. 10 (2020), no. 23, 95–100. [29] D. Sedaghat Shayegan, A. Lork, and A.H. Hashemi, The assessment of fragility curves of the Application of diagonal and chevron viscous damper in steel structures using a metaheuristic algorithm for modification of ground motions, J. Struct. Const. Eng. 7 (2021), no. 4, 100–115. [30] S.S. Shahebrahimi, A. Lork, and D. Sedaghat Shayegan, Knowledge management to investigate the failure factors in managing of gas and oil industry transmission lines projects, Iran Univ. Sci. Technol. 12 (2022), no. 2, 215–233. [31] S.P. Singh and V.K. Singh, An improved heuristic approach for multi-objective facility layout problem, Eur. J. Oper. Res. 48 (2010), no. 4, 1171–1194. [32] X. Song, F. Pena-Mora, C.H. Shen, Z. Zhang, and J. Xu, Modelling the effect of multi-stakeholder interactions on construction site layout planning using agent-based decentralized optimization, Autom. Const. 107 (2019), 1–20. [33] C.M. Tam and K.L. Tong, GA-ANN model for optimizing the locations of tower crane and supply points for high-rise public housing construction, Const. Manag. Econ. 21 (2003), 257–266. [34] A.L.E. Teo, G. Ofori, I.K. Tjandra, and H. Kim, Design for safety: Theoretical framework of the safety aspect of BIM system to determine the safety index, Const. Econ. Build. 16 (2016), no. 4, 1–18. [35] M. Weinstein and J.A. Gambatese, Can design improve construction safety? Assessing the impact of a collaborative safety-in-design process, J. Const. Eng. Manag. 131 (2005), no. 10, 1125–1134. [36] R.D. Woodson, Construction Hazardous Materials Compliance Guide: Lead Detection, Abatement and Inspection Procedures, Butterworth-Heinemann, Elsevier, 2012. [37] J.P. Xu and Z.M. Li, Multi-objective dynamic construction site layout planning in fuzzy random environment, Autom. Const. 27 (2012), 155–169. [38] X.-S. Yang, Multiobjective firefly algorithm for continuous optimization, Engin. Comput. 29 (2013), 175–184. [39] P. Zhang, F.C. Harris, P.O. Olomolaiye, and G.D. Holt, Location optimization for a group of tower cranes, J. Constr. Eng. Manag. 125 (1999), no. 2, 115–122. | ||
|
آمار تعداد مشاهده مقاله: 315 تعداد دریافت فایل اصل مقاله: 312 |
||