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 …

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 …

Metaheuristic algorithms are intelligent optimization approaches that lead the searching
procedure through utilizing exploitation and exploration. The increasing complexity of real …

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 …

Abstract The Sine Cosine Algorithm (SCA) is an outstanding optimizer that is appreciably
used to dissolve complicated real-world problems. Nevertheless, this algorithm lacks …

Recently, optimization problems have been revised in many domains, and they need
powerful search methods to address them. In this paper, a novel hybrid optimization …

The quadratic assignment problem (QAP) is an NP-hard problem with a wide range of
applications in many real-world applications. This study introduces a discrete rat swarm …

The equilibrium optimizer (EO) is a recently developed physics-based optimization
technique for complex optimization problems. Although the algorithm shows excellent …

A recently developed algorithm inspired by natural processes, known as the Artificial Gorilla
Troops Optimizer (GTO), boasts a straightforward structure, unique stabilizing features, and …

Exploring an optimal combination of features from high-dimensional text vectors is an
essential step for classification on Scientific and Technical Service (STS) resources …