Abstract
Accelerating the project schedule raises the total cost of the project and shall be efficient only up to a certain limit. A Time-Cost Trade-off Problem (TCTP) is utilized to detect the optimal set of time-cost alternatives to enhance the overall construction project benefit. In this study, to find a set of Pareto front solutions, a multi-objective optimization model which is based on the Teaching- Learning Based Optimization (TLBO) incorporated with the Modified Adaptive Weight Approach (MAWA), is proposed. Four examples of construction projects taken from the technical literature ranging from 7 to 63 activities are investigated to show the performance of the MAWA-TLBO. The results are compared with those obtained using previously proposed models considering the optimal or near optimal solutions. It was found that the MAWA-TLBO algorithm works effectively for the TCTP in construction engineering and management field.
Similar content being viewed by others
References
Afshar, A., Ziaraty, A. K., Kaveh, A., and Sharifi, F. (2009). “Nondominated archiving multicolumn ant algorithm in time–cost trade-off optimization.” Journal Construction Engineering and Management, Vol. 135, No. 7, pp. 668–674, DOI: 10.1061/(ASCE)0733-9364 (2009)135:7(668).
Aminbakhsh, S. and Sönmez, R. (2016). “Applied discrete particle swarm optimization method for the large-scale discrete time–cost trade-off problem.” Expert System with Applications, Vol. 51, pp. 177–185, DOI: 10.1016/j.eswa.2015.12.041.
Ammar, M. A. (2011). “Optimization of project time-cost trade-off problem with discounted cash flows.” Journal of Construction Engineering and Management, Vol. 137, No. 1, 65–71, DOI: 10.1061/(ASCE)CO.1943-7862.0000256.
Azeez, M. N. and Alsaffar, A. (2014). “Construction time-cost optimization modelling using ant colony optimization.” Journal of Engineering, Vol. 20, No. 1, pp 1–18.
Azizipanah-Abarghooee, R., Niknam, T., Roosta, A., Malekpour, A. R., and Zare, M. (2012). “Probabilistic multiobjective wind-thermal economic emission dispatch based on point estimated method.” Energy, Vol. 37, No. 1, pp. 322–335, DOI: 10.1016/j.energy.2011.11.023.
Bettemir, Ö. H. (2009). Optimization of time-cost-resource trade-off problems in project scheduling using meta-heuristic algorithms, PhD Thesis, Middle East Technical University, Turkey.
Colorni, M., Maniezzo, V., and Trubian, M. (1994). “Ant system for jobshop scheduling.” Belgian Journal of Operations Research, Statistics and Computer Science (JORBEL), Vol. 34, pp. 39–53.
Dede, T. and Togan, V. (2015). “A teaching learning based optimization for truss structures with frequency constraints.” Structural Engineering and Mechanics, Vol. 53, No. 40, pp. 833–845, DOI: 10.12989/sem.2015.53.4.833.
Elazouni, A. M. and Metwally, F. G. (2007). “Expanding finance-based scheduling to devise overall-optimized project schedules.” Journal of Construction Engineering and Management, Vol. 133, No. 1, pp. 86–90, DOI: 10.1061/(ASCE)0733-9364(2007)133:1(86).
Elbeltagi, E., Hegazy, T., and Grierson, D. (2005). “Comparison among five evolutionary-based optimization algorithms.” Advanced Engineering Informatics, Vol. 19, pp. 43–53, DOI: 10.1016/j.aei.2005.01.004.
Fathi, H. and Afshar, A. (2010). “GA-based multi-objective optimization of finance-based construction project scheduling.” KSCE Journal of Civil Engineering, Vol. 14, No. 5, pp. 627–638, DOI: 10.1007/s12205-010-0849-2.
Feng, C.-W., Liu, L., and Burns, S. (2000). “Stochastic construction time cost trade-off analysis.” Journal of Computing in Civil Engineering, Vol. 14, No. 2, pp. 117–126.
Feng, C-W., Liu, L., and Burns, S. A. (1997) “Using genetic algorithms to solve construction time-cost trade-off problems.” Journal of Computing in Civil Engineering, Vol. 11, No. 3, pp.184–189.
Gen, M. and Cheng, R. (2000). Genetic algorithms & engineering optimization, Wiley-Inter science, New York, USA.
Golzarpoor, B. (2012). Time-cost optimization of large-scale construction projects using constraint programming, MSc Thesis, University of Waterloo, Ontario, Canada.
Kim, J., Kang, C., and Hwang, I. (2012). “A practical approach to project scheduling: considering the potential quality loss cost in the time–cost trade-off problem.” International Journal of Project Management, Vol. 30, No. 2, pp. 264–272, DOI: 10.1016/j.ijproman.2011.05.004.
Koo, C., Hong, T., and Kim, S. (2015). “An integrated multi-objective optimization model for solving the construction time-cost trade-off problem.” Journal of Civil Engineering and Management, Vol. 21, No. 3, pp. 323–333, DOI: 10.3846/13923730.2013.802733.
Magalhaes-Mendes, J. (2015). “Multiobjective optimization: time-cost application in construction.” Congresso de Métodos Numéricos em Engenharia, CMN, Portugal.
Monghasemi, S., Nikoo, M. R., Fasaee, M. A. K., and Adamowski, J. (2015). “A novel multi criteria decision making model for optimizing time–cost–quality trade-off problems in construction projects.” Expert Systems with Applications, Vol. 42, No. 6, pp. 3089–3104, DOI: 0.1016/j.eswa.2014.11.032.
Mungle, S., Benyoucef, L., Son, Y. J., and Tiwari, M. K. (2013). “A fuzzy clustering-based genetic algorithm approach for time–cost–quality trade-off problems: A case study of highway construction project.” Engineering Applications of Artificial Intelligence, Vol. 26, No. 8, pp. 1953–1966, DOI: 10.1016/j.engappai.2013.05.006.
Niknam, T., Golestaneh, F., and Sadeghi, M.S. (2012). “Multiobjective teaching-learning-based optimization for dynamic economic emission dispatch.” IEEE Systems Journal, Vol. 6, No. 2, pp. 341–352, DOI: 10.1109/JSYST.2012.2183276.
Rao, R. V. and Patel, V. (2012). “Multi-objective optimization of heat exchangers using a modified teaching-learning-based optimization algorithm.” Applied Mathematical Modelling, Vol. 37, No. 3, pp. 1147–1162, DOI: 10.1016/j.apm.2012.03.043.
Rao, R. V. and Patel, V. (2013). “Multi-objective optimization of two stage thermoelectric cooler using a modified teaching-learning-based optimization algorithm.” Engineering Applications of Artificial Intelligence, Vol. 26, No. 1, and pp.430–445, DOI: 0.1016/j.engappai.2012.02.016.
Rao, R. V., Savsani, V. J., and Vakharia, D. P. (2011). “Teaching-learningbased optimization: A novel method for constrained mechanical design optimization problems.” Computer Aided Design, Vol. 43, No. 3, pp. 303–315, DOI: 10.1016/j.cad.2010.12.015.
Sönmez, R. and Bettemir, O. H. (2012). “A hybrid genetic algorithm for the discrete time-cost trade-off problem.” Expert Systems with Applications, Vol. 39, No. 13, pp. 11428–11434, DOI: 10.1016/j.eswa.2012.04.019.
Parveen, S. and Saha, S. K. (2012). “GA based multi-objective timecost optimization in a project with resources consideration.” International Journal of Modern Engineering Research, Vol. 2, No. 6, pp. 4352–4359.
Tavana, M., Abtahi, A. R., and Khalili-Damghani, K. (2014). “A new multi-objective multi-mode model for solving pre-emptive time–cost–quality trade-off project scheduling problems.” Expert Systems with Applications, Vol. 41, No. 4, pp. 1830–1846, DOI: 10.1016/j.eswa.2013.08.081.
Togan, V. (2012). “Design of planar steel frames using teaching-learning based optimization.” Engineering Structures, Vol. 34, pp. 225–232, DOI: 10.1016/j.engstruct.2011.08.035.
Togan, V. (2013). “Design of pin jointed structures using teachinglearning based optimization.” Structural Engineering and Mechanics, Vol. 47, No. 2, pp. 209–225, DOI: 10.12989/sem.2013.47.2.209.
Xiong, Y. and Kuang, Y. (2008). “Applying an ant colony optimization algorithm-based multiobjective approach for time–cost trade-off.” Journal of Construction Engineering and Management, Vol. 134, No. 2, pp. 153–156, DOI: 10.1061/(ASCE)0733-9364(2008)134:2 (153).
Zhang, Y. and Ng, S. (2012). “An ant colony system-based decision support system for construction time-cost optimization.” Journal of Civil Engineering and Management, Vol. 18, No. 4, pp. 580–589, 10.3846/13923730.2012.704164.
Zhang, H. and Xing, F. (2010). “Fuzzy-multi-objective particle swarm optimization for time–cost–quality trade-off in construction.” Automation in Construction, Vol. 19, No. 8, pp. 1067–1075, DOI: 10.1016/j.autcon.2010.07.014.
Zheng, D. X. M., Ng, S. T., and Kumaraswamy, M. M. (2004). “Applying a genetic algorithm-based multiobjective approach for time-cost optimization.” Journal of Construction Engineering and Management, Vol. 130, No. 2, pp. 168–176, DOI: 10.1061/(ASCE)0733-9364 (2004)130:2(168).
Zheng, D., Ng, S., and Kumaraswamy, M. (2005). “Applying Pareto ranking and niche formation to genetic algorithm-based multiobjective time–cost optimization.” Journal of Construction Engineering and Management, Vol. 131, No. 1, pp. 81–91, DOI: 10.1061/(ASCE) 0733-9364(2005)131:1(81).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Toğan, V., Eirgash, M.A. Time-Cost Trade-off Optimization of Construction Projects using Teaching Learning Based Optimization. KSCE J Civ Eng 23, 10–20 (2019). https://doi.org/10.1007/s12205-018-1670-6
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12205-018-1670-6