Now showing items 21-30 of 36
A hybrid support vector regression-firefly model for monthly rainfall forecasting
(Springer Berlin Heidelberg, 2019)
Long-term prediction of rainfalls is one of the most challenging tasks in stochastic hydrology owing to the highly random characteristics of rainfall events. In this paper, a novel approach is adopted to develop a hybrid ...
Establishment siting for equipment transportation against forest fires
(8th International Black Sea Applied Sciences Congress, 2022)
Season algorithm-multigene genetic programming: a new approach for rainfall-runoff modelling
(Springer Netherlands, 2018)
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 ...
Performance of the whale optimization algorithm in space steel frame optimization problems
(6th International Conference on Harmony Search, Soft Computing and Applications, 2020)
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 ...
A GIS-based multi-criteria model for offshore wind energy power plants site selection in both sides of the Aegean Sea
(Environmental Monitoring and Assessment, 2020)
Location selection for offshore wind farms is a major challenge for renewable energy policy, marine spatial planning, and environmental conservation. This selection constitutes a multi-criteria decision-making problem, ...
Failure mechanisms and cracking performance of T-shaped SCC beam-column connections at top floor: test results and FE modeling
In recent decades, self-compacting concrete (SCC) has gradually gained popularity based on its unique workability without any internal and external vibration. SCC development must ensure an acceptable level of balance ...
Genetic programming in water resources engineering: a state-of-the-art review
The state-of-the-art genetic programming (GP) method is an evolutionary algorithm for automatic generation of computer programs. In recent decades, GP has been frequently applied on various kind of engineering problems and ...
Transportation path assignment within the airports in Turkey
A hybrid of firefly and biogeography-based optimization algorithms for optimal design of steel frames
(Arabian Journal for Science and Engineering, 2020)
The principle purpose of the current study is to hybridize firefly algorithm (FA) as a nature-inspired meta-heuristic developed based on the flashing patterns and biogeography-based optimization (BBO) to present a qualified ...
Utilization of repulsion weights application as an optimizing parameter
(5th Mediterranean International Conference of Pure and Applied Mathematics and Related Areas, 2022)