An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
Metaheuristic research: a comprehensive survey
Because of successful implementations and high intensity, metaheuristic research has been
extensively reported in literature, which covers algorithms, applications, comparisons, and …
extensively reported in literature, which covers algorithms, applications, comparisons, and …
Rainfall–runoff modelling using long short-term memory (LSTM) networks
Rainfall–runoff modelling is one of the key challenges in the field of hydrology. Various
approaches exist, ranging from physically based over conceptual to fully data-driven …
approaches exist, ranging from physically based over conceptual to fully data-driven …
Model evaluation guidelines for systematic quantification of accuracy in watershed simulations
DN Moriasi, JG Arnold, MW Van Liew… - Transactions of the …, 2007 - elibrary.asabe.org
Watershed models are powerful tools for simulating the effect of watershed processes and
management on soil and water resources. However, no comprehensive guidance is …
management on soil and water resources. However, no comprehensive guidance is …
[BOOK][B] Rainfall-runoff modelling: the primer
KJ Beven - 2012 - books.google.com
Rainfall-Runoff Modelling: The Primer, Second Edition is the follow-up of this popular and
authoritative text, first published in 2001. The book provides both a primer for the novice and …
authoritative text, first published in 2001. The book provides both a primer for the novice and …
Effective and efficient global optimization for conceptual rainfall‐runoff models
The successful application of a conceptual rainfall‐runoff (CRR) model depends on how
well it is calibrated. Despite the popularity of CRR models, reports in the literature indicate …
well it is calibrated. Despite the popularity of CRR models, reports in the literature indicate …
Status of automatic calibration for hydrologic models: Comparison with multilevel expert calibration
The usefulness of a hydrologic model depends on how well the model is calibrated.
Therefore, the calibration procedure must be conducted carefully to maximize the reliability …
Therefore, the calibration procedure must be conducted carefully to maximize the reliability …
Swarm intelligence algorithms for multiple unmanned aerial vehicles collaboration: A comprehensive review
J Tang, H Duan, S Lao - Artificial Intelligence Review, 2023 - Springer
Over the past decade, unmanned aerial vehicles (UAVs) have demonstrated increasing
promise. In this context, we provide a review on swarm intelligence algorithms that play an …
promise. In this context, we provide a review on swarm intelligence algorithms that play an …
Metaheuristics: a comprehensive overview and classification along with bibliometric analysis
Research in metaheuristics for global optimization problems are currently experiencing an
overload of wide range of available metaheuristic-based solution approaches. Since the …
overload of wide range of available metaheuristic-based solution approaches. Since the …
Toward improved predictions in ungauged basins: Exploiting the power of machine learning
Long short‐term memory (LSTM) networks offer unprecedented accuracy for prediction in
ungauged basins. We trained and tested several LSTMs on 531 basins from the CAMELS …
ungauged basins. We trained and tested several LSTMs on 531 basins from the CAMELS …