과제정보
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2013R1A2A2A01068316). The contribution of the Ministry of Science, ICT and Future Planning is gratefully acknowledged.
국제학술발표논문집 (International conference on construction engineering and project management)
- The 6th International Conference on Construction Engineering and Project Management
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- Pages.114-116
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- 2015
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- 2508-9048(eISSN)
Stochastic Time-Cost Tradeoff Using Genetic Algorithm
- Lee, Hyung-Guk (School of Architecture & Civil Engineering, KyungPook National University) ;
- Lee, Dong-Eun (School of Architecture & Civil Engineering, KyungPook National University)
- 발행 : 2015.10.11
초록
This paper presents a Stochastic Time-Cost Tradeoff analysis system (STCT) that identifies optimal construction methods for activities, hence reducing the project completion time and cost simultaneously. It makes use of schedule information obtained from critical path method (CPM), applies alternative construction methods data obtained from estimators to respective activities, computes an optimal set of genetic algorithm (GA) parameters, executes simulation based GA experiments, and identifies near optimal solution(s). A test case verifies the usability of STCT.