Recent versions and applications of sparrow search algorithm
This paper reviews the latest versions and applications of sparrow search algorithm (SSA). It
is a recent swarm-based algorithm proposed in 2020 rapidly grew due to its simple and …
is a recent swarm-based algorithm proposed in 2020 rapidly grew due to its simple and …
A review of reservoir operation optimisations: from traditional models to metaheuristic algorithms
Reservoir operation optimisation secures benefits, such as optimising energy production
while minimising the possibility of flooding, operating costs, and water scarcity, at the lowest …
while minimising the possibility of flooding, operating costs, and water scarcity, at the lowest …
A novel bio-inspired optimization algorithm design for wind power engineering applications time-series forecasting
Wind patterns can change due to climate change, causing more storms, hurricanes, and
quiet spells. These changes can dramatically affect wind power system performance and …
quiet spells. These changes can dramatically affect wind power system performance and …
Short-term rockburst prediction in underground project: Insights from an explainable and interpretable ensemble learning model
Rockburst is a frequent challenge during tunnel and other underground construction and is
an extreme rock damage phenomenon. Therefore, it is very crucial to accurately estimate the …
an extreme rock damage phenomenon. Therefore, it is very crucial to accurately estimate the …
Binary Horse herd optimization algorithm with crossover operators for feature selection
This paper proposes a binary version of Horse herd Optimization Algorithm (HOA) to tackle
Feature Selection (FS) problems. This algorithm mimics the conduct of a pack of horses …
Feature Selection (FS) problems. This algorithm mimics the conduct of a pack of horses …
An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection
In this paper, an enhanced binary version of the Rat Swarm Optimizer (RSO) is proposed to
deal with Feature Selection (FS) problems. FS is an important data reduction step in data …
deal with Feature Selection (FS) problems. FS is an important data reduction step in data …
Finite element model updating and damage identification using semi-rigidly connected frame element and optimization procedure: An experimental validation
Owing to ever-increasing complexity of engineering structures, develo** a methodology
for the early detection of defects has become crucial to ensure their long-term safety and …
for the early detection of defects has become crucial to ensure their long-term safety and …
Meta-heuristic optimization techniques used for maximum power point tracking in solar pv system
A critical advancement in solar photovoltaic (PV) establishment has led to robust
acceleration towards the evolution of new MPPT techniques. The sun-oriented PV …
acceleration towards the evolution of new MPPT techniques. The sun-oriented PV …
Artificial intelligence for diagnosis of mild–moderate COVID-19 using haematological markers
Objective The persistent spread of SARS-CoV-2 makes diagnosis challenging because
COVID-19 symptoms are hard to differentiate from those of other respiratory illnesses. The …
COVID-19 symptoms are hard to differentiate from those of other respiratory illnesses. The …
[HTML][HTML] Recent advances in butterfly optimization algorithm, its versions and applications
The butterfly optimization algorithm (BOA) is a recent successful metaheuristic swarm-based
optimization algorithm. The BOA has attracted scholars' attention due to its extraordinary …
optimization algorithm. The BOA has attracted scholars' attention due to its extraordinary …