Претраживање
Приказ резултата 1-7 од 7
Work cycle based scheduling
(Croatian Association of Civil Engineers, 2013)
The paper proposes a new approach to short-term scheduling based on spatial and technological cycles, continuous crew flows and daily scheduling, named WCBS (Work Cycle Based Scheduling). Application of WCBS is shown on a ...
Application of particle swarms for project time-cost optimization
(Union of Croatian Civil Engineers and Technicians, 2014)
The time-cost optimization of a construction project, as related to the costs of its activities and the total project realization costs, is considered in this paper. Direct and indirect costs, durations of all activities, ...
Investment strategy for ensuring quality of finishing works on residential buildings
(Union of Croatian Civil Engineers and Technicians, 2015)
The relationship between the quality of finishing works, costs, market value, and profit, is presented and explained for residential buildings. The results show that the higher quality of finishing works increases profit ...
Genetic algorithms for assigning tasks to construction machine operators / Genetski algoritmi za rasporedivanje rukovatelja gradevinskih strojeva
(Croatian Association of Civil Engineers, 2011)
The authors describe the methodology for using genetic algorithms in solving problems of optimum assignment of tasks to construction machinery operators, aimed at achieving maximum efficiency. A special emphasis is placed ...
Fire-resistance prognostic model for reinforced concrete columns
(Croatian Association of Civil Engineers, 2012)
The prediction model used for defining fire resistance of reinforced concrete columns exposed to standard fire from all four sides is presented in the paper. The proposed model relies on the concept of artificial neural ...
Application of artificial neural networks for hydrological modelling in karst
(Union of Croatian Civil Engineers and Technicians, 2018)
The possibility of short-term water flow forecasting in a karst region is presented in this paper. Four state-of-the-art machine learning algorithms are used for the one day ahead forecasting: multi-layer perceptron neural ...