A novel chaotic Runge Kutta optimization algorithm for solving constrained engineering problems

This study proposes a novel hybrid metaheuristic optimization algorithm named chaotic Runge Kutta optimization (CRUN). In this study, 10 diverse chaotic maps are being incorporated with the base Runge Kutta optimization (RUN) algorithm to improve their performance. An imperative analysis was conduct...

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Vydané v:Journal of computational design and engineering Ročník 9; číslo 6; s. 2452 - 2465
Hlavní autori: Yıldız, Betül Sultan, Mehta, Pranav, Panagant, Natee, Mirjalili, Seyedali, Yildiz, Ali Riza
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford University Press 01.12.2022
한국CDE학회
Predmet:
기계공학
Runge Kutta optimization algorithm
hybrid metaheuristics
brake pedal
chaotic maps
mechanical design
ISSN:2288-5048, 2288-4300, 2288-5048
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Shrnutí:This study proposes a novel hybrid metaheuristic optimization algorithm named chaotic Runge Kutta optimization (CRUN). In this study, 10 diverse chaotic maps are being incorporated with the base Runge Kutta optimization (RUN) algorithm to improve their performance. An imperative analysis was conducted to check CRUN’s convergence proficiency, sustainability of critical constraints, and effectiveness. The proposed algorithm was tested on six well-known design engineering tasks, namely: gear train design, coupling with a bolted rim, pressure vessel design, Belleville spring, and vehicle brake-pedal optimization. The results demonstrate that CRUN is superior compared to state-of-the-art algorithms in the literature. So, in each case study, CRUN was superior to the rest of the algorithms and furnished the best-optimized parameters with the least deviation. In this study, 10 chaotic maps were enhanced with the base RUN algorithm. However, these chaotic maps improve the solution quality, prevent premature convergence, and yield the global optimized output. Accordingly, the proposed CRUN algorithm can also find superior aspects in various spectrums of managerial implications such as supply chain management, business models, fuzzy circuits, and management models. Graphical Abstract Graphical Abstract
ISSN:2288-5048
2288-4300
2288-5048
DOI:10.1093/jcde/qwac113