This paper introduces two novel concepts in data-driven turbulence modeling that enable the simultaneous development of multiple closure models and training towards objectives. The extend evolutionary framework by Weatheritt Sandberg (2016) [1], which derives interpretable implementation-ready expressions from high-fidelity simulation data. By assigning a shared fitness value to evolved utilizi...

In this paper, a method was developed in relation to the north-western coast of Black Sea order determine optimal model run from regional climate models ensemble.
 As result change, which has been observed since late 1980s Ukraine, various natural objects changes have also transformed. The study such future is possible only by using runs global or models. Moreover, step spatial grid must b...

Nowadays, the large set of available simulation tools brings numerous benefits to urban and architectural practices. However, simulations often take a considerable amount time yield significant results, particularly when performing many with models, as is typical in complex endeavors. Additionally, multiple objective optimizations metaheuristic algorithms have been widely used solve building op...

data envelopment analysis (dea) is a managerial powerful tool for assess the performance of decision making units (dmus). nowadays, multi-objective dea models are an attractive technique for evaluation quantity and quality aspects of performance analysis. but these models are in static. in this paper, we want to present a proposed fuzzy dynamic multi-objective dea model in which data are changi...