In the present study, gene expression programming (GEP) technique was used to develop one-month ahead monthly rainfall forecasting models in two meteorological stations located at a semi-arid region, Iran. GEP was trained ...

There is no standard accepted by highway authorities on the compaction procedures of 100 mm diameter gyratory compactor specimens. In previous studies on gyratory compaction, the utilisation of either coring from 150 mm ...

Rainfall is considered the hardest weather variable to forecast, and its cause-effect relationships often cannot be expressed in simple or complex mathematical forms. This study introduces a novel hybrid model to month ...

Frame optimization that contains highly non-linear and irregular functions and discrete design variables is one of the most challenging optimization problems. Therefore, gradient-based optimization techniques cannot be ...

Mathematical models have been used for many decades in order to improve the infrastructure design of transportation facilities. In this study, locational best fit airport infrastructure is determined for providing an urgent ...

Genetic programming (GP) is recognized as a robust machine learning method for rainfall-runoff modelling. However, it may produce lagged forecasts if autocorrelation feature of runoff series is not taken carefully into ...

This work evaluates the performance of the salp swarm algorithm (SSA) for truss system optimization problems and presents a novel method called the modified salp swarm algorithm (MSSA). Five truss structures, previously ...

Günümüzde yenilenebilir enerji kaynaklarından olan güneş enerjisinden fotovoltaik (PV) paneller kullanılarak elektrik üretimi amaçlı uygulamalar mevcuttur. Yapılarda, marjinal arazilerde veya gölgeleme elemanlarında bu tür ...