Reda, Ahmad and Johanyák, Zsolt Csaba (2021) Survey on Five Nature-Inspired Optimization Algorithms. GRADUS, 8 (1). pp. 173-183. ISSN 2064-8014
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Official URL: https://doi.org/10.47833/2021.1.CSC.001
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.
Item Type: | Article |
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Subjects: | Q Science / természettudomány > QA Mathematics / matematika > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány |
SWORD Depositor: | MTMT SWORD |
Depositing User: | MTMT SWORD |
Date Deposited: | 19 May 2021 13:57 |
Last Modified: | 19 May 2021 13:57 |
URI: | http://real.mtak.hu/id/eprint/125611 |
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