Time–cost optimization: using GA and fuzzy sets theory for uncertainties in cost

References

• Chen , S. J. and Hwang , C. L. 1992 . Fuzzy Multiple Attribute Decision Making: Methods and Application , New York : Springer Verlag .
   Google Scholar
• Chua , D. K. H. , Kog , Y. C. and Loh , P. K. 2001 . A model for construction project budget and schedule performances using fuzzy data. . Civil Engineering and Environmental Systems , 18 (4) : 303 – 29 .
   Web of Science ®Google Scholar
• Coskunoglu , O. 1984 . Optimal probabilistic compression of PERT networks. . Journal of Construction Engineering and Management , 110 (4) : 437 – 46 .
   Web of Science ®Google Scholar
• 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 – 9 .
   Web of Science ®Google Scholar
• Feng , C. , Liu , L. and Burns , S. 2000 . Stochastic construction time cost trade‐off analysis. . Journal of Computing in Civil Engineering , 14 (2) : 117 – 26 .
   Web of Science ®Google Scholar
• Fondahl , J. W. 1961 . A Non‐Computer Approach to the Critical Path Method for the Construction Industry Technical Report No. 9, Dept. of Civil Engineering, The Construction Institute, Stanford University, Stanford, CA
   Google Scholar
• Hegazy , T. 1999 . Optimization of construction time–cost trade‐off analysis: using genetic algorithms. . Canadian Journal of Civil Engineering , 26 (6) : 685 – 97 .
   Web of Science ®Google Scholar
• Holland , J. H. 1975 . Adaptation in Natural and Artificial Systems , Ann Arbor , MI : University of Michigan Press .
   Google Scholar
• Knowles , J. D. , Watson , R. A. and Corne , D. W. 2001 . “ Reducing local optima in single‐objective problems by multi objection ” . In Lecture Notes in Computer Science , Edited by: Zitzler , E , Deb , K and Thiele , L . 269 – 83 . Berlin : Springer . Vol. 1993
   Google Scholar
• Leu , S. S. , Chen , A. T. and Yang , C. H. 2001 . A GA‐based fuzzy optimal model for construction time–cost trade‐off. . International Journal of Project Management , 19 (1) : 47 – 58 .
   Google Scholar
• Li , H. and Love , P. 1997 . Using improved genetic algorithms to facilitate time–cost optimization. . Journal of Construction Engineering and Management , 123 (3) : 233 – 7 .
   Web of Science ®Google Scholar
• Li , H. , Cao , J. N. and Love , P. E. 1999 . Using machine learning and GA to solve time–cost trade‐off problems. . Journal of Construction Engineering and Management , 125 (5) : 347 – 53 .
   Web of Science ®Google Scholar
• Liu , L. , Burns , S. and Feng , C. 1995 . Construction time–cost trade‐off analysis using LP/IP hybrid method. . Journal of Construction Engineering and Management , 121 (4) : 446 – 54 .
   Web of Science ®Google Scholar
• Lorterapong , P. and Moselhi , O. 1996 . Project‐network analysis using fuzzy sets theory. . Journal of Construction Engineering and Management , 122 (4) : 308 – 18 .
   Web of Science ®Google Scholar
• Moselhi , O. 1993 . Schedule compression using the direct stiffness method. . Canadian Journal of Civil Engineering , 20 : 65 – 72 .
   Web of Science ®Google Scholar
• Ng , S. T. , Deng , M. Z. M. , Skitmore , R. M. and Lam , K. C. 2000 . A conceptual case‐based decision module for mitigating construction delays. . International Journal of Construction Information Technology , 8 (2) : 1 – 20 .
   Google Scholar
• Ng , S. T. , Luu , D. T. , Chen , S. E. and Lam , K. C. 2002 . Fuzzy membership functions of procurement selection criteria. . Construction Management and Economics , 20 (3) : 285 – 96 .
   Google Scholar
• Reda , R. M. and Carr , R. I. 1989 . Time cost trade‐off among related activities. . Journal of Construction Engineering and Management , 115 (3) : 475 – 86 .
   Web of Science ®Google Scholar
• Senouci , A. B. and Adeli , H. 2001 . Resource scheduling using neural dynamics model of Adeli and Park. . Journal of Construction Engineering and Management , 127 (1) : 28 – 34 .
   Web of Science ®Google Scholar
• Siemens , N. 1971 . A simple CPM time–cost tradeoff algorithm. . Management Science , 17 (6) : 354 – 63 .
   Web of Science ®Google Scholar
• Yen , J. and Langari , R. 1998 . Fuzzy Logic: Intelligence, Control, and Information , Englewood Cliffs , NJ : Prentice Hall .
   Google Scholar
• Zadeh , L. A. 1965 . Fuzzy sets. . Information and Control , 8 (3) : 338 – 53 .
   Google Scholar
• Zhang , H. , Tam , C. M. and Shi , J. 2003 . Application of fuzzy logic to simulation for construction operations. . Journal of Computing in Civil Engineering , 17 (1) : 38 – 45 .
   Web of Science ®Google Scholar
• Zheng , D. X. M. and Ng , S. T. 2005 . Stochastic time‐cost optimization model incorporating fuzzy sets theory and non replaceable front. . Journal of Construction Engineering and Management , 131 (2) : 176 – 86 .
   Web of Science ®Google Scholar
• Zheng , D. X. M. , Ng , S. T. and Kumaraswamy , M. M. Applying genetic algorithms techniques for time‐cost optimization . Proceedings of the 18th Annual Conference ARCOM , Edited by: Greenwood , D . pp. 801 – 10 .
   Google Scholar
• Zheng , D. X. M. , Ng , S. T. and Kumaraswamy , M. M. 2004 . Applying a genetic algorithm‐based multi‐objective approach for time–cost optimization. . Journal of Construction Engineering and Management , 130 (2) : 168 – 76 .
   Web of Science ®Google Scholar
• Zimmermann , H. J. 1991 . Fuzzy Sets Theory and its Application , Boston : Kluwer Academic Publishers .
   Google Scholar