The beluga whale optimization (BWO) algorithm is a recently proposed metaheuristic
optimization algorithm that simulates three behaviors: beluga whales interacting in pairs to …

The snow ablation optimizer (SAO) is a new metaheuristic algorithm proposed in April 2023.
It simulates the phenomenon of snow sublimation and melting in nature and has a good …

Beluga whale optimization (BWO) algorithm is a recently proposed population intelligence
algorithm. Inspired by the swimming, foraging, and whale falling behaviors of beluga whale …

Rime optimization algorithm (RIME) encounters issues such as an imbalance between
exploitation and exploration, susceptibility to local optima, and low convergence accuracy …

Recently, swarm intelligence algorithms have received much attention because of their
flexibility for solving complex problems in the real world. Recently, a new algorithm called …

Improving the accuracy of daily runoff in the lower Yellow River is important for flood control
and reservoir scheduling in the lower Yellow River. Influenced by factors such as …

In today's world, heart disease threatens human life owing to higher mortality and morbidity
across the globe. The earlier prediction of heart disease engenders interoperability for the …

The slime mould algorithm (SMA), as an emerging and promising swarm intelligence
algorithm, has been studied in various fields. However, SMA suffers from issues such as …

RIME is a recently introduced optimization algorithm that draws inspiration from natural
phenomena. However, RIME has certain limitations. For example, it is prone to falling into …

Feature selection (FS) is vital in improving the performance of machine learning (ML)
algorithms. Despite its importance, identifying the most important features remains …