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Dragonfly Algorithm and Its Hybrids: A Survey on Performance, Objectives and Applications
- Source :
- Sensors (Basel, Switzerland), Sensors, Vol 21, Iss 7542, p 7542 (2021)
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Swarm intelligence is a discipline which makes use of a number of agents for solving optimization problems by producing low cost, fast and robust solutions. The dragonfly algorithm (DA), a recently proposed swarm intelligence algorithm, is inspired by the dynamic and static swarming behaviors of dragonflies, and it has been found to have a higher performance in comparison to other swarm intelligence and evolutionary algorithms in numerous applications. There are only a few surveys about the dragonfly algorithm, and we have found that they are limited in certain aspects. Hence, in this paper, we present a more comprehensive survey about DA, its applications in various domains, and its performance as compared to other swarm intelligence algorithms. We also analyze the hybrids of DA, the methods they employ to enhance the original DA, their performance as compared to the original DA, and their limitations. Moreover, we categorize the hybrids of DA according to the type of problem that they have been applied to, their objectives, and the methods that they utilize.
- Subjects :
- Optimization problem
Odonata
Computer science
Evolutionary algorithm
Swarming (honey bee)
TP1-1185
Review
Biochemistry
Swarm intelligence
Analytical Chemistry
Animals
dragonfly algorithm
Dragonfly algorithm
Electrical and Electronic Engineering
Instrumentation
Problem Solving
swarm intelligence
business.industry
Chemical technology
Performance objective
Biological Evolution
Atomic and Molecular Physics, and Optics
Artificial intelligence
business
optimization
Algorithms
Subjects
Details
- ISSN :
- 14248220
- Volume :
- 21
- Database :
- OpenAIRE
- Journal :
- Sensors
- Accession number :
- edsair.doi.dedup.....702f416a8519f231e3fb504aaab98d60