Abstract
This paper presents a literature review about Particle Swarm Optimization (PSO), Firework, Firefly, Clonal Selection, and Cuckoo Search algorithms, which are among the most common natural-inspired optimization algorithms. These algorithms were tried on different benchmark functions. The obtained results were analyzed, and the performance was compared. The results showed that PSO and Firefly Search algorithms provided the best performance in the studied cases.
Cite
CITATION STYLE
APA
Reda, A., & Johanyák, Z. C. (2021). Survey on five nature-Inspired Optimization Algorithms. Gradus, 8(1), 173–183. https://doi.org/10.47833/2021.1.csc.001
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
Already have an account? Sign in
Sign up for free