An approach of models approximation, applicable in the model-based optimization of water resources, is described. It was applied to the optimization of a system of the three reservoirs located in the Apure river basin in Venezuela. Its development plan requires to increase the period when the river is navigable along the certain reach. The problem was posed as a multi-criterial decision making ...

Abstract: Convolved Gaussian Process (CGP) is able to capture the correlations not only between inputs and outputs but also among the outputs. This allows a superior performance of using CGP than standard Gaussian Process (GP) in the modelling of Multiple-Input Multiple-Output (MIMO) systems when observations are missing for some of outputs. Similar to standard GP, a key issue of CGP is the lea...

Cargo plays a very important role in the aviation industry as supporting revenue. In Airline X, cargo supports revenue by 4% - 6% of total There are opportunities to optimize compartment X analyzing every agent involved purpose know optimum loaded into using Agent-Based Modelling. The method used this research is Rejection Sampling Monte Carlo and addition, theory distribution function, determi...

Bayesian Optimization is a useful tool for experiment design. Unfortunately, the classical, sequential setting of does not translate well into laboratory experiments, instance battery design, where measurements may come from different sources and their evaluations require significant waiting times. Multi-fidelity addresses with sources. Asynchronous batch provides framework to select new experi...

In this work, we perform an extensive theoretical and experimental analysis of the characteristics five most prominent algebraic modelling languages (AMPL, AIMMS, GAMS, JuMP, Pyomo) systems supporting them. our comparison, evaluate how reviewed modern match current requirements. analysis, use a purpose-built test model library to benchmarks. We provide insights on which performed best features ...