Research Area:  Metaheuristic Computing

Abstract:

This paper thoroughly introduces a comprehensive review of the so-called Dragonfly algorithm (DA) and highlights its main characteristics. DA is considered one of the promising swarm optimization algorithms because it successfully applied in a wide range of optimization problems in several fields, such as engineering design, medical applications, image processing, power and energy systems, and economic load dispatch problems. The review describes the available literature on DA, including its variants like binary, discrete, modify, and hybridization of DA. Conclusions focus on the current work on DA, highlighting its disadvantages with suggests possible future research directions. Researchers and practitioners of DA belonging to a wide range of audiences from the domains of optimization, engineering, medical, data mining, and clustering, among others will benefit from this study.

Keywords:  
Dragonfly algorithm
optimization problems
medical applications
image processing
energy systems
economic load dispatch problems
clustering

Author(s) Name:  Mohammad Alshinwan, Laith Abualigah, Mohammad Shehab, Mohamed Abd Elaziz, Ahmad M. Khasawneh, Hamzeh Alabool & Husam Al Hamad

Publisher name:  Springer

DOI:  10.1007/s11042-020-10255-3

Volume Information:  80, pages 14979–15016 (2021)

Paper Link:   https://link.springer.com/article/10.1007/s11042-020-10255-3