A COMPREHENSIVE REVIEW OF THE REPTILE SEARCH ALGORITHM: PRINCIPLES , APPLICATIONS, AND FUTURE DIRECTIONS
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F25%3A10258040" target="_blank" >RIV/61989100:27230/25:10258040 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.webofscience.com/wos/woscc/full-record/WOS:001499599000001" target="_blank" >https://www.webofscience.com/wos/woscc/full-record/WOS:001499599000001</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.17973/MMSJ.2025_06_2025049" target="_blank" >10.17973/MMSJ.2025_06_2025049</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A COMPREHENSIVE REVIEW OF THE REPTILE SEARCH ALGORITHM: PRINCIPLES , APPLICATIONS, AND FUTURE DIRECTIONS
Popis výsledku v původním jazyce
Metaheuristic optimization methods are extensively employed to address complex real-world problems, but problems like premature convergence and poor search persist. Reptile Search Algorithm (RSA) is a new nature-inspired optimization method founded on the cooperative hunting strategy of crocodiles. This review offers an in-depth examination of RSA, examining its theoretical roots, mathematical modelling, and relative performance compared to established methods such as PSO, GWO, and WOA. The novel encircling and hunting mechanisms of the algorithm provide a balance between exploration and exploitation, increasing global search efficiency. Performance tests on benchmark problems and engineering problems prove RSA's strength, flexibility, and performance in multimodal and high-dimensional problems. In real-world applications, RSA has been effectively applied to machine learning, engineering design, and industrial optimization. RSA indicates promising outcomes but parameter tuning and hybridization with other techniques remain challenging. Future work should target adaptive methods, parallel execution, and domain-specific optimization to make it more applicable in various areas.
Název v anglickém jazyce
A COMPREHENSIVE REVIEW OF THE REPTILE SEARCH ALGORITHM: PRINCIPLES , APPLICATIONS, AND FUTURE DIRECTIONS
Popis výsledku anglicky
Metaheuristic optimization methods are extensively employed to address complex real-world problems, but problems like premature convergence and poor search persist. Reptile Search Algorithm (RSA) is a new nature-inspired optimization method founded on the cooperative hunting strategy of crocodiles. This review offers an in-depth examination of RSA, examining its theoretical roots, mathematical modelling, and relative performance compared to established methods such as PSO, GWO, and WOA. The novel encircling and hunting mechanisms of the algorithm provide a balance between exploration and exploitation, increasing global search efficiency. Performance tests on benchmark problems and engineering problems prove RSA's strength, flexibility, and performance in multimodal and high-dimensional problems. In real-world applications, RSA has been effectively applied to machine learning, engineering design, and industrial optimization. RSA indicates promising outcomes but parameter tuning and hybridization with other techniques remain challenging. Future work should target adaptive methods, parallel execution, and domain-specific optimization to make it more applicable in various areas.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20300 - Mechanical engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
MM Science Journal
ISSN
1803-1269
e-ISSN
1805-0476
Svazek periodika
2025
Číslo periodika v rámci svazku
JUN 2025
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
9
Strana od-do
8388-8396
Kód UT WoS článku
001499599000001
EID výsledku v databázi Scopus
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