M
Min-Yuan Cheng
Researcher at National Taiwan University of Science and Technology
Publications - 206
Citations - 6616
Min-Yuan Cheng is an academic researcher from National Taiwan University of Science and Technology. The author has contributed to research in topics: Construction management & Fuzzy logic. The author has an hindex of 38, co-authored 205 publications receiving 5213 citations. Previous affiliations of Min-Yuan Cheng include National Taiwan University.
Papers
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Symbiotic Organisms Search: A new metaheuristic optimization algorithm
Min-Yuan Cheng,Doddy Prayogo +1 more
TL;DR: Results confirm the excellent performance of the SOS method in solving various complex numerical problems and compared with well-known optimization methods.
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Accurately predicting building energy performance using evolutionary multivariate adaptive regression splines
Min-Yuan Cheng,Minh-Tu Cao +1 more
TL;DR: A 10-fold cross-validation approach found EMARS to be the best model for predicting CL and HL with 65% and 45% deduction in terms of RMSE, respectively, compared to other methods.
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ArcSite: enhanced GIS for construction site layout
Min-Yuan Cheng,James T. O'Connor +1 more
TL;DR: In this article, the authors developed an automated site layout system for construction temporary facilities (TFs) including a geographic information system (GIS) integrated with database management systems (DBMSs) for identifying suitable areas to locate TFs.
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BIM integrated smart monitoring technique for building fire prevention and disaster relief
TL;DR: The results of applying the BIM-based system demonstrate that it may effectively provide 3D visualization to support the assessment and planning of fire safety, to provide early detection and alarm responses, to direct efficient evacuation, and to facilitate fire rescue and control efforts in order to increase overall building safety and disaster-response capabilities.
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A novel Multiple Objective Symbiotic Organisms Search (MOSOS) for time-cost-labor utilization tradeoff problem
TL;DR: Numerical results demonstrate MOSOS approach is a powerful search and optimization technique in finding optimization of work shift schedules that is it can assist project managers in selecting appropriate plan for project.