Abstract
Dragonfly algorithm (DA) is one of the most recently developed heuristic
optimization algorithms by Mirjalili in 2016. It is now one of the most
widely used algorithms. In some cases, it outperforms the most popular
algorithms. However, this algorithm is not far from obstacles when it
comes to complex optimization problems. In this work, along with the
strengths of the algorithm in solving real-world optimization problems,
the weakness of the algorithm to optimize complex optimization problems
is addressed. This survey presents a comprehensive investigation of DA
in the engineering area. First, an overview of the algorithm is
discussed. Additionally, the different variants of the algorithm are
addressed too. The combined versions of the DA with other techniques and
the modifications that have been done to make the algorithm work better
are shown. Besides, a survey on applications in engineering area that
used DA is offered. The algorithm is compared with some other
metaheuristic algorithms to demonstrate its ability to optimize problems
comparing to the others. The results of the algorithm from the works
that utilized the DA in the literature and the results of the benchmark
functions showed that in comparison with some other algorithms DA has an
excellent performance, especially for small to medium problems.
Moreover, the bottlenecks of the algorithm and some future trends are
discussed. Authors conduct this research with the hope of offering
beneficial information about the DA to the researchers who want to study
the algorithm and utilize it to optimize engineering problems.
Journal of Computational Design and Engineering, 2020.
DOI: 10.1093/jcde/qwaa037