Optimization for Limited Resource Schedule in Public Construction Project

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Abstract:

The optimization of scheduling is an important aspect of the construction project plan, the paper proposes applying improved ant colony optimization to solve the public construction projects scheduling optimization problem under limited resource condition and constructs the mathematical model of the project construction schedule optimization. Further verify the validity of the model and the improved ant colony optimization on the schedule of the optimization problem solving has universal applicability.

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1639-1643

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October 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Yuxue Dong, Hongming Wu, Study on the optimization of construction time, J. Harbin Archit. & Civ. Eng. Inst. 02 (1994): 107-112.

Google Scholar

[2] Liangbao Li, Study on indeterminacy of construction project building schedule network plan of Construction Time, Management World. 08 (2007): 167-168.

Google Scholar

[3] Blazewica J, Lenstra J K, Rinnooy K. Scheduling project to resource constraints: Classification and complexity. Discrete Applied Mathematics, 5 (1983): 11-24.

DOI: 10.1016/0166-218x(83)90012-4

Google Scholar

[4] Bucker P, Knust S, Schoo A, et a1. A Branch and bound algorithm for the resource-constrained project scheduling problem. European Journal of Operational Research, 107 (1998): 272-288.

DOI: 10.1016/s0377-2217(97)00335-4

Google Scholar

[5] Christofides N,Alvarez-Valdes R,Tamarit J.M. Project scheduling with resource constraints:A branch and bond approach.European Journal of Operational Research, 29 (1987): 262-273.

DOI: 10.1016/0377-2217(87)90240-2

Google Scholar

[6] Qingjun Guo, Huimin Li, Yunxiu Sai, The analysis of scheduling optimization on critical chain method for multiple projects, Industrial Engineering and Management. 6 (2008): 41-45.

Google Scholar

[7] Dorigo Marco, Gambardella Luca Maria. Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Trans. on Evolutionary Computation, 1(1997): 53~66.

DOI: 10.1109/4235.585892

Google Scholar

[8] Yamei Xia, Bo Cheng, Junliang Chen, Xaingwu Meng, Optimizing services composition based on improved ant colony algorithm, Chinese Journal of Computers. 2 (2012): 270-281.

DOI: 10.3724/sp.j.1016.2012.00270

Google Scholar