A Conceptual Comparison of Six Nature-Inspired Metaheuristic Algorithms in Process Optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F22%3A10249735" target="_blank" >RIV/61989100:27230/22:10249735 - isvavai.cz</a>
Result on the web
<a href="https://www.webofscience.com/wos/woscc/full-record/WOS:000778142900001" target="_blank" >https://www.webofscience.com/wos/woscc/full-record/WOS:000778142900001</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/pr10020197" target="_blank" >10.3390/pr10020197</a>
Alternative languages
Result language
angličtina
Original language name
A Conceptual Comparison of Six Nature-Inspired Metaheuristic Algorithms in Process Optimization
Original language description
In recent years, several high-performance nature-inspired metaheuristic algorithms have been proposed. It is important to study and compare the convergence, computational burden and statistical significance of these metaheuristics to aid future developments. This study focuses on six recent metaheuristics, namely, ant lion optimization (ALO), arithmetic optimization algorithm (AOA), dragonfly algorithm (DA), grey wolf optimizer (GWO), salp swarm algorithm (SSA) and whale optimization algorithm (WOA). Optimization of an industrial machining application is tackled in this paper. The optimal machining parameters (peak current, duty factor, wire tension and water pressure) of WEDM are predicted using the six aforementioned metaheuristics. The objective functions of the optimization study are to maximize the material removal rate (MRR) and minimize the wear ratio (WR) and surface roughness (SR). All of the current algorithms have been seen to surpass existing results, thereby indicating their superiority over conventional optimization algorithms.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20300 - Mechanical engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Processes
ISSN
2227-9717
e-ISSN
2227-9717
Volume of the periodical
10
Issue of the periodical within the volume
2
Country of publishing house
CH - SWITZERLAND
Number of pages
20
Pages from-to
nestrankovano
UT code for WoS article
000778142900001
EID of the result in the Scopus database
2-s2.0-85124291857