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

YILDIZ B. S., Mehta P., Panagant N., Mirjalili S., YILDIZ A. R.

JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING, vol.9, no.6, pp.2452-2465, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 9 Issue: 6
  • Publication Date: 2022
  • Doi Number: 10.1093/jcde/qwac113
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, Geobase, INSPEC, Directory of Open Access Journals
  • Page Numbers: pp.2452-2465
  • Keywords: hybrid metaheuristics, Runge Kutta optimization algorithm, chaotic maps, mechanical design, brake pedal, DIFFERENTIAL EVOLUTION, DESIGN OPTIMIZATION, SWARM INTELLIGENCE, STRUCTURAL DESIGN, HARMONY SEARCH
  • Bursa Uludag University Affiliated: Yes


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.