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

The slime mould algorithm (SMA) is a new meta-heuristic algorithm recently proposed. The
algorithm is inspired by the foraging behavior of polycephalus slime moulds. It simulates the …

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 …

Feature selection techniques are considered one of the most important preprocessing steps,
which has the most significant influence on the performance of data analysis and decision …

Sparse synthesis can reduce the maximum sidelobe level (SLL) and overhead of the
concentric circular antenna array (CCAA) by switching off partial array elements. However …

Slime mould algorithm (SMA) is a novel metaheuristic algorithm with good performance for
optimization problems, but it may encounter premature or low accuracy in complex …

Recent work trend is to hybridize two and more variants in order to recognize better quality
of functional and remedies to the global challenges of optimisation. The newly formed Slime …

In this study, political optimizer (PO) which has entered the literature as a novel socio-
inspired meta-heuristic method is used to improve radiation properties of concentric circular …

The artificial bee colony (ABC) algorithm is a biomimetic optimization algorithm based on the
intelligent foraging behavior of a bee colony. It has obvious advantages in dealing with …

A modern design of fractal antenna arrays, called fractile array, which exhibits a fractal
boundary contour within a tiled plane, is explored for enhanced array performance. In this …