Assessing the Time-Cost Trade-Off of Construction Projects


Article Preview

By using Genetic Algorithms (GAs), a resource-integrated model is presented to identify the relationships between project time and cost in consideration of the changes in resource efficiency under different working durations. Under the assumption of a non-linear quadratic relationship between resource efficiency and working duration, the minimum and maximum project costs for different project completion times are easily identified and the trade-off relationships between the project time and cost are clearly presented by using the proposed model and a case study. The research results logically suggest that the greater the adjustable range of activity durations, the lower the minimum project cost for a specific project’s completion time will be, and the greater the value of an activity is, the later the activity will be adjusted.



Advanced Materials Research (Volumes 243-249)

Edited by:

Chaohe Chen, Yong Huang and Guangfan Li




W. Lo and M. E. Kuo, "Assessing the Time-Cost Trade-Off of Construction Projects", Advanced Materials Research, Vols. 243-249, pp. 6394-6399, 2011

Online since:

May 2011





[1] 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, 11(3), 184-189.


[2] Holt, B., and Fu, L. M. (1955). 'Rule generation from neural networks. ', IEEE Trans. on Sys., Man and Cybernetics, 8(3), 54–63.

[3] Kelly, J. E. (1961). Critical-path planning and scheduling: Mathematical basis., Operational Res., 9, 296–320.

[4] Reda, R., and Carr, R. I. (1989). Time-cost tradeoff among related activities., J. Constr. Engrg. and Mgmt., ASCE, 115(3), 475–486.

[5] Ahmed B. Senouci and Neil N. Eldin, M. ASCE, Use of Genetic Algorithms in Resource Scheduling of Construction Projects., Journal of Construction of Engineering and Management, 2004, 869–877.


Fetching data from Crossref.
This may take some time to load.