Slime Mould Algorithm (SMA) has recently received much attention from researchers
because of its simple structure, excellent optimisation capabilities, and acceptable …

Meta-heuristic algorithms have a high position among academic researchers in various
fields, such as science and engineering, in solving optimization problems. These algorithms …

This study deals with the controlling the speed of a direct current (DC) motor via a fractional
order proportional–integral–derivative (FOPID) controller and maintaining the terminal …

A slime mould algorithm (SMA) is a new meta-heuristic algorithm, which can be widely used
in practical engineering problems. In this paper, an improved slime mould algorithm (ESMA) …

Wireless sensor network (WSN) coverage problem is to think about how to maximize the
network coverage to obtain reliable monitoring and tracking services with guaranteed quality …

In this article, a new nature‐inspired optimizer based on bald eagles' fish hunting behavior is
proposed for accurate parameters estimation of the solid oxide fuel cells stack's model. The …

Features Selection (FS) techniques have been applied to several real-world applications
which contain high dimension data. These FS techniques have main objectives that aim to …

Slime Mould Algorithm (SMA) is a new meta-heuristics algorithm that is inspired by the
behaviors of slime mould from nature. Due to its effective performance, SMA has shown its …

The Harris hawks optimizer (HHO) is a novel meta-heuristic algorithm that imitates a Harris
hawk's hunting behavior and has an efficient exploitation mode. However, it suffers from low …

Perovskite solar cells (PSCs) are third-generation photovoltaic technology that has gained a
lot of attention due to its technological and economic advantages. The PSCs are …