Harris hawks optimization: a comprehensive review of recent variants and applications
Harris hawks optimizer (HHO) has received widespread attention among researchers in
terms of the performance, quality of results, and its acceptable convergence in dealing with …
terms of the performance, quality of results, and its acceptable convergence in dealing with …
A comprehensive review of bat inspired algorithm: Variants, applications, and hybridization
Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in
dealing with various optimization problems in diverse fields, such as power and energy …
dealing with various optimization problems in diverse fields, such as power and energy …
Harris hawks optimization algorithm: variants and applications
This paper introduces a comprehensive survey of a new swarm intelligence optimization
algorithm so-called Harris hawks optimization (HHO) and analyzes its major features. HHO …
algorithm so-called Harris hawks optimization (HHO) and analyzes its major features. HHO …
Prediction of meteorological drought by using hybrid support vector regression optimized with HHO versus PSO algorithms
Drought is considered one of the costliest natural disasters that result in water scarcity and
crop damage almost every year. Drought monitoring and forecasting are essential for the …
crop damage almost every year. Drought monitoring and forecasting are essential for the …
Gradient-based optimizer (gbo): a review, theory, variants, and applications
This paper introduces a comprehensive survey of a new population-based algorithm so-
called gradient-based optimizer (GBO) and analyzes its major features. GBO considers as …
called gradient-based optimizer (GBO) and analyzes its major features. GBO considers as …
Mapping of groundwater salinization and modelling using meta-heuristic algorithms for the coastal aquifer of eastern Saudi Arabia
The growing increase in groundwater (GW) salinization in the coastal aquifers has reached
an alarming socio-economic menace in Saudi Arabia and various places globally due to …
an alarming socio-economic menace in Saudi Arabia and various places globally due to …
[HTML][HTML] Emerging Harris Hawks Optimization based load demand forecasting and optimal sizing of stand-alone hybrid renewable energy systems–A case study of …
This paper presents load forecasting and optimal sizing for minimizing the Annualized Cost
of the System (ACS) of a stand-alone photovoltaic (PV)/wind/battery hybrid renewable …
of the System (ACS) of a stand-alone photovoltaic (PV)/wind/battery hybrid renewable …
Interpretation the influence of hydrometeorological variables on soil temperature prediction using the potential of deep learning model
S Elsayed, M Gupta… - Knowledge …, 2023 - … journals.publicknowledgeproject.org
The importance of soil temperature (ST) quantification can contribute to diverse ecological
modelling processes as well as for agricultural activities. Over the literature, it was evident …
modelling processes as well as for agricultural activities. Over the literature, it was evident …
Multi-state load demand forecasting using hybridized support vector regression integrated with optimal design of off-grid energy Systems—A metaheuristic approach
The prediction accuracy of support vector regression (SVR) is highly influenced by a kernel
function. However, its performance suffers on large datasets, and this could be attributed to …
function. However, its performance suffers on large datasets, and this could be attributed to …
Optimal coordination of protection devices in distribution networks with distributed energy resources and microgrids
Microgrids are promising to enhance power distribution systems' efficiency, quality,
sustainability, and reliability. However, microgrids operation can impose several challenges …
sustainability, and reliability. However, microgrids operation can impose several challenges …