This study proposes a novel population-based metaheuristic algorithm called the Gazelle
Optimization Algorithm (GOA), inspired by the gazelles' survival ability in their predator …

Metaheuristics are popularly used in various fields, and they have attracted much attention
in the scientific and industrial communities. In recent years, the number of new metaheuristic …

A gravitational search algorithm (GSA) uses gravitational force among individuals to evolve
population. Though GSA is an effective population-based algorithm, it exhibits low search …

In this research, a methodology was developed to optimize the design of Warm Mix Asphalt
(WMA) with the inclusion of three recycled materials as partial replacement of natural …

Abstract Dempster–Shafer (D–S) evidence theory has been studied and applied broadly,
owing to its advantage of effectively handling uncertainty problems in multisource …

Gravitational search algorithm is a nature-inspired algorithm based on the mathematical
modelling of the Newton's law of gravity and motion. In a decade, researchers have …

This paper introduces a dynamic comprehensive multi-swarm gravitational search algorithm
with non-uniform mutation (cdGSA-2m) for optimizing hybrid active power filter (HAPF) …

A complex network is a network that has the characteristics of small world, clustering, and
power-law distribution. The discovery of crucial spreaders, as one of the significant research …

Abstract Optimal Power Flow (OPF) is a complex and challenging problem in power system
that includes non-convex and non-linear constrained optimization problems. Due to these …

One of the most powerful tools for solving optimization problems is optimization algorithms
(inspired by nature) based on populations. These algorithms provide a solution to a problem …