Fuzzy Comprehensive Optimization of Hydropower Project Schedule with Consideration of Investment and Risk
Yao Pan · Journal of Tianjin University Science and Technology · 2008
Considering the influence of interest rate and inflation on project investment,we developed a multi-objective optimization model for construction scheduling.In order to normalize and measure the utility of investment and completion risk for decision-making,a fuzzy comprehensive optimization method based on Vague sets was presented.And then a genetic algorithm was used to solve this nonlinear integer multi-objective problem.An example was analyzed with the method,and the project completion riskt,he total investmenti,nterest and the reserve fund of inflation,and their cash flows were achieved under the optimum schedule.Should not this be the caset,he approach provides an effective way to support deci-sion-making on construction scheduling.