An integrated multi-objective optimization model for solving the construction time-cost trade-off problem

Journal of Civil Engineering and Management

Volumn 21, Issue 3, 2015, Pages 323-333

  Koo, Choongwan ^a   Hong, Taehoon ^a   Kim, Sangbum ^b  

^a Yonsei University   (South Korea)

^b Dongguk University   (South Korea)

Author keywords

construction management; fitness function; multi objective optimization; non dominated solution; pareto front

Indexed keywords

AIR QUALITY; COSTS; ECONOMIC AND SOCIAL EFFECTS; FUNCTION EVALUATION; GENETIC ALGORITHMS; HEALTH; INDOOR AIR POLLUTION; INVESTMENTS; OPTIMIZATION; PROJECT MANAGEMENT; QUALITY CONTROL;

CONSTRUCTION MANAGEMENT; EFFECTIVENESS AND EFFICIENCIES; FITNESS FUNCTIONS; MULTI-OBJECTIVE OPTIMIZATION MODELS; NONDOMINATED SOLUTIONS; OPERATION AND MAINTENANCE; OPTIMAL SOLUTION SETS; PARETO FRONT;

MULTIOBJECTIVE OPTIMIZATION;

EID: 84929304362     PISSN: 13923730     EISSN: 18223605     Source Type: Journal    
DOI: 10.3846/13923730.2013.802733     Document Type: Article

References (53)

1. Adeli, H.; Cheng, N. 1993. Integrated genetic algorithm for optimization of space structures, Journal of Aerospace Engineering 6(4): 315-328. http://dx.doi.org/10.1061/(ASCE)0893-1321(1993)6:4(315)
2. Adeli, H.; Hung, S. 1995. Machine learning-neural networks, genetic algorithms, and fuzzy sets. New York: John Wiley and Sons. 211 p.
3. Adeli, H.; Sarma, K. 2006. Cost optimization of structures-fuzzy logic, genetic algorithm, and parallel computing. West Sussex, United Kingdom: John Wiley and Sons. 222 p. http://dx.doi.org/10.1002/0470867353
4. Ammar, M. 2011. Optimization of project time-cost trade-off problem with discounted cash flows, Journal of Construction Engineering and Management 137(1): 65-71. http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0000256
5. Ansell, M.; Holmes, M.; Evans, R.; Pasquire, C. 2009. Price A. Delivering best value in highways major maintenance schemes: case study, Journal of Construction Engineering and Management 135(4): 235-245. http://dx.doi.org/10.1061/(ASCE)0733-9364(2009)135:4(235)
6. Asmar, M.; Lotfallah, W.; Whited, G.; Hanna, A. 2010. Quantitative methods for design-build team selection, Journal of Construction Engineering and Management 136(8): 904-912. http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0000194
7. Balling, R; Powell, B.; Saito, M. 2004. Generating future land-use and transportation plans for high-growth cities using a genetic algorithm, Computer-Aided Civil and Infrastructure Engineering 19(3): 213-222. http://dx.doi.org/10.1111/j.1467-8667.2004.00349.x
8. Burns, S.; Liu, L.; Feng, C. 1996. The LP/IP hybrid method for construction time-cost trade-off analysis, Construction Management and Economics 14(3): 265-276. http://dx.doi.org/10.1080/014461996373511
9. Carvalho, M.; Lozano, M.; Serra, L. 2012. Multicriteria synthesis of trigeneration systems considering economic and environmental aspects, Applied Energy 91(1): 245-254. http://dx.doi.org/10.1016/j.apenergy.2011.09.029
10. Certa, A.; Galante, G.; Lupo, T.; Passannanti, G. 2011. Determination of pareto frontier in multi-objective maintenance optimization, Reliability Engineering and System Safety 96(7): 861-867. http://dx.doi.org/10.1016/j.ress.2010.12.019
11. Chen, P.; Weng, H. 2009. A two-phase ga model for resource-constrained project scheduling, Automation in Construction 18(4): 485-498. http://dx.doi.org/10.1016/j.autcon.2008.11.003
12. rd ed. Construction Management Association of America.
13. Elbehairy, H.; Elbeltagi, E.; Hegazy, T.; Soudki, K. 2006. Comparison of two evolutionary algorithms for optimization of bridge deck repairs, Computer-Aided Civil and Infrastructure Engineering 21(8): 561-572. http://dx.doi.org/10.1111/j.1467-8667.2006.00458.x
14. Elbeltagi, E.; Hegazy, T.; Grierson, D. 2005. Comparison among five evolutionary-based optimization algorithms, Advanced Engineering Informatics 19(1): 43-53. http://dx.doi.org/10.1016/j.aei.2005.01.004
15. Elegbede, C.; Adjallah, K. 2003. Availability allocation to repairable systems with genetic algorithms: a multi-objective formulation, Reliability Engineering & System Safety 82(3): 319-330. http://dx.doi.org/10.1016/j.ress.2003.08.001
16. El-Rayes, K.; Kandil, A. 2005. Time-cost-quality trade-off analysis for highway construction, Journal of Construction Engineering and Management 131(4): 477-486. http://dx.doi.org/10.1061/(ASCE)0733-9364(2005)131:4(477)
17. Feng, C.; Liu, L.; Burns, S. 1997. Using genetic algorithm to solve construction time-cost trade-off problems, Journal of Computing in Civil Engineering 11(3): 184-189. http://dx.doi.org/10.1061/(ASCE)0887-3801(1997)11:3(184)
18. Fondahl, J. 1961. A noncomputer approach to the critical path method for the construction industry. Technical Rep No. 9. Department of Civil Engineering, Stanford University, Stanford, Calif: The Construction Institute.
19. Geem, Z. 2010. Multiobjective optimization of time-cost trade-off using harmony search, Journal of Construction Engineering and Management 136(6): 711-716. http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0000167
20. Gen, M.; Cheng, R. 2000. Genetic algorithms & engineering optimization. New York: Wiley-Interscience. 495 p.
21. Goldberg, D. 1989. Genetic algorithms in search, optimization, and machine learning. Reading, Mass: Addision-Wesley. 412 p.
22. Hegazy, T. 1999. Optimization of construction time-cost trade-off analysis using genetic algorithms, Canadian Journal of Civil Engineering 26(6): 685-697. http://dx.doi.org/10.1139/l99-031
23. Hegazy, T.; Ersahin, T. 2001. Simplified spreadsheet solutions II: overall schedule optimization, Journal of Construction Engineering and Management 127(6): 469-475. http://dx.doi.org/10.1061/(ASCE)0733-9364(2001)127:6(469)
24. Henderickson, C.; Au, T. 1989. Project management for construction. Englewood Cliffs, NJ: Prentice-Hall. 537 p.
25. Hsieh, T.; Liu, H. 2004. Genetic algorithm for optimization of infrastructure investment under time-resource constraint, Computer-Aided Civil and Infrastructure Engineering 19(3): 203-212. http://dx.doi.org/10.1111/j.1467-8667.2004.00348.x
26. Huang, H.; Ooka, R.; Chen, H.; Kato, S. 2009. Optimum design for smoke-control system in buildings considering robustness using CFD and genetic algorithms, Building and Environment 44(11): 2218-2227. http://dx.doi.org/10.1016/j.buildenv.2009.02.002
27. Jiang, A.; Issa, R.; Malek, M. 2011. Construction project cash flow planning using the pareto optimality efficiency network model, Journal of Civil Engineering and Management 17(4): 510-519. http://dx.doi.org/10.3846/13923730.2011.604537
28. Kandil, A.; El-Rayes, K.; El-Anwar, O. 2010. Optimization research: enhancing the robustness of large-scale multiobjective optimization in construction, Journal of Construction Engineering and Management 136(1): 17-25. http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0000140
29. Konak, A.; Coit, D.; Smith, A. 2006. Multi-objective optimization using genetic algorithms: a tutorial, Reliability Engineering & System Safety 91(9): 992-1007. http://dx.doi.org/10.1016/j.ress.2005.11.018
30. Lam, K.; Palaneeswaran, E.; Yu, C. 2009. A support vector machine model for contractor prequalification, Automation in Construction 18(3): 321-329. http://dx.doi.org/10.1016/j.autcon.2008.09.007
31. Li, H.; Love, P. 1997. Using improved genetic algorithms to facilitate time-cost optimization, Journal of Construction Engineering and Management 123(3): 233-237. http://dx.doi.org/10.1061/(ASCE)0733-9364(1997)123:3(233)
32. Liu, C.; Zhao, C.; Xu, Q. 2012. Integration of electroplating process design and operation for simultaneous productivity maximization, energy saving, and freshwater minimization, Chemical Engineering Science 68(1): 202-214. http://dx.doi.org/10.1016/j.ces.2011.09.024
33. Liu, L.; Burns, S.; Feng, C. 1995. Construction time-cost trade-off analysis using LP/IP hybrid method, Journal of Construction Engineering and Management 121(4): 446-454. http://dx.doi.org/10.1061/(ASCE)0733-9364(1995)121:4(446)
34. Marseguerra, M.; Zio, E.; Podofillini, L. 2004. A multiobjective genetic algorithm approach to the optimization of the technical specifications of a nuclear safety system, Reliability Engineering & System Safety 84(1): 87-99. http://dx.doi.org/10.1016/S0951-8320(03)00175-3
35. Martorell, S.; Villanueva, J.; Carlos, S.; Nebot, Y.; Sanchez, A.; Pitarch, J. 2005. RAMS+C informed decision-making with application to multi-objective optimization of technical specifications and maintenance using genetic algorithms, Reliability Engineering & System Safety 87(1): 65-75. http://dx.doi.org/10.1016/j.ress.2004.04.009
36. Moradi, H.; Zandieh, M.; Mahdavi, I. 2011. Non-dominated ranked genetic algorithm for a multi-objective mixed-model assembly line sequencing problem, International Journal of Production Research 49(12): 3479-3499. http://dx.doi.org/10.1080/00207540903433882
37. Moselhi, O. 1993. Schedule compression using the direct stiffness method, Canadian Journal of Civil Engineering 20(1): 65-72. http://dx.doi.org/10.1139/l93-007
38. Ng, S.; Zhang, Y. 2006. Optimizing construction time and cost using ant colony optimization approach, Journal of Construction Engineering and Management 134(9): 721-728. http://dx.doi.org/10.1061/(ASCE)0733-9364(2008)134:9(721)
39. Pagnoni, A. 1990. Project engineering: computer oriented planning and operational decision making. Berlin: Springer. 239 p. http://dx.doi.org/10.1007/978-3-642-75630-6
40. Prager, W. 1963. A structural method of computing project cost polygons, Management Science 9(3): 394-404. http://dx.doi.org/10.1287/mnsc.9.3.394
41. Rogoža, A.; Čiuprinskas, K.; Šiupšinskas, G. 2006. The optimisation of energy systems by using 3E factor: the case studies, Journal of Civil Engineering and Management 12(1): 63-68.
42. Sayin, S.; Kouvelis, P. 2005. The multiobjective discrete optimization problem: a weighted min-max two-stage optimization approach and a bicriteria algorithm, Management Science 51(10): 1572-1581. http://dx.doi.org/10.1287/mnsc.1050.0413
43. Šešok, D.; Belevicius, R. 2008. Global optimization of trusses with a modified genetic algorithm, Journal of Civil Engineering and Management 14(3): 147-154. http://dx.doi.org/10.3846/1392-3730.2008.14.10
44. Šešok, D.; Mockus, J.; Belevicius, R.; Kaceniauskas, A. 2010. Global optimization of grillages using simulated annealing and high performance computing, Journal of Civil Engineering and Management 16(1): 95-101. http://dx.doi.org/10.3846/jcem.2010.09
45. Siemens, N. 1971. A simple CPM time-cost trade-off algorithm, Management Science 17(6): 354-363. http://dx.doi.org/10.1287/mnsc.17.6.B354
46. Simanaviciene, R.; Liaudanskiene, R.; Ustinovichius, L. 2012. A new synthesis method of structural, technological and safety decisions (SyMAD-3), Journal of Civil Engineering and Management 18(2): 265-276. http://dx.doi.org/10.3846/13923730.2012.666504
47. Šostak, O.; Vakrinien, S. 2011. Mathematical modelling of dispute proceedings between investors and third parties on allegedly violated third-party rights, Journal of Civil Engineering and Management 17(1): 126-136. http://dx.doi.org/10.3846/13923730.2011.560628
48. Sullivan, K. 2011. Quality management programs in the construction industry: best value compared with other methodologies, Journal of Management in Engineering 27(4): 210-219. http://dx.doi.org/10.1061/(ASCE)ME.1943-5479.0000054
49. Unnikrishnan, A.; Valsaraj, V.; Damnjanovic, I. 2009. Design and management strategies for mixed public private transportation networks: a meta-heuristic approach, Computer-Aided Civil and Infrastructure Engineering 24(4): 266-279. http://dx.doi.org/10.1111/j.1467-8667.2008.00587.x
50. Venskus, A.; Kalanta, S.; Atkočiu¯nas, J.; Ulitinas, T. 2010. Integrated load optimization of elastic-plastic axisymmetric plates at shakedown, Journal of Civil Engineering and Management 16(2): 203-208. http://dx.doi.org/10.3846/jcem.2010.22
51. Zheng, D.; Ng, S. 2005b. Stochastic time-cost optimization model incorporating fuzzy sets theory and nonreplaceable front, Journal of Construction Engineering and Management 131(2): 176-186. http://dx.doi.org/10.1061/(ASCE)0733-9364(2005)131:2(176)
52. Zheng, D.; Ng, S.; Kumaraswamy, M. 2004. Applying a genetic algorithm-based multiobjective approach for timecost optimization, Journal of Construction Engineering and Management 130(2): 168-176. http://dx.doi.org/10.1061/(ASCE)0733-9364(2004)130:2(168)
53. Zheng, D.; Ng, S.; Kumaraswamy, M. 2005a. Applying pareto ranking and niche formation to genetic algorithm-based multiobjective time-cost optimization, Journal of Construction Engineering and Management 131(1): 81-91. http://dx.doi.org/10.1061/(ASCE)0733-9364(2005)131:1(81)