This paper completely introduces an exhaustive and a comprehensive review of the so-
called salp swarm algorithm (SSA) and discussions its main characteristics. SSA is one of …

Whale optimization algorithm (WOA) is a recently developed swarm-based meta-heuristic
algorithm that is based on the bubble-net hunting maneuver technique—of humpback …

This paper thoroughly presents a comprehensive review of the so-called moth–flame
optimization (MFO) and analyzes its main characteristics. MFO is considered one of the …

The excessive expansion of cities and the consequent increase in urban population,
especially in recent years, have led to a significant increase in consumptions and …

Small independent hybrid power schemes (IHPSs) are promising alternatives for load
supply for remote areas. In IHPS optimization, load data are generally the main input. In this …

This paper presents two levels of enhancing the basic Moth flame optimization (MFO)
algorithm. The first step is hybridizing MFO and the local-based algorithm, hill climbing (HC) …

Vegetable oil refineries wastewater poses significant challenges to treatment techniques
due to its characteristic fluctuations. In this study, a full factorial design (FFD) was applied to …

The paper addresses the limitations of the Moth-Flame Optimization (MFO) algorithm, a meta-
heuristic used to solve optimization problems. The MFO algorithm, which employs moths' …

Abstract Moth–Flame Optimization (MFO) is widely utilized to solve optimization problems in
different fields since it has a simple structure and easy implementation. However, MFO …

In this paper, a novel feature selection method is introduced to tackle the problem of high-
dimensional features in the text clustering application. Text clustering is a prevailing …