Write in a clean editor, then format for Journal of Computational Design and Engineering in one click — DocuGuru applies the official Oxford University Press template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
Journal of Computational Design and Engineering is a peer-reviewed journal published by Oxford University Press, covering Manufacturing Process and Optimization, Advanced Multi-Objective Optimization Algorithms, Metaheuristic Optimization Algorithms Research.
| Publisher | Oxford University Press |
|---|---|
| Reference style | Author–year (OUP) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Journal of Computational Design and Engineering, 12(3), pp. 45–58.
Formats any DOI in the closest standard style — Journal of Computational Design and Engineering has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Manufacturing Process and Optimization Advanced Multi-Objective Optimization Algorithms Metaheuristic Optimization Algorithms Research Advanced Numerical Analysis Techniques 3D Shape Modeling and Analysis |
| ISSN | 2288-4300 |
| Citation impact (2-yr) | 4.86 |
| h-index | 63 |
| i10-index | 486 |
| Total citations | 20,020 |
| Article processing charge | $1,650 |
| Open access | Yes |
| Top institutions publishing here | Seoul National University |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Abstract During the past decade, solving complex optimization problems with metaheuristic algorithms has received considerable attention among practitioners and researchers. Hence, many metaheuristic algorithms have been developed over the last years. Many of these algorithms are inspired by various phenomena of nature. In this paper, a new population based algorithm, the Lion Optimization Algorithm (LOA),…
Abstract The Whale Optimization Algorithm (WOA) is a recently developed meta-heuristic optimization algorithm which is based on the hunting mechanism of humpback whales. Similarly to other meta-heuristic algorithms, the main problem faced by WOA is slow convergence speed. So to enhance the global convergence speed and to get better performance, this paper introduces chaos theory…
Abstract The Grey Wolf Optimizer (GWO) algorithm is a novel meta-heuristic, inspired from the social hunting behavior of grey wolves. This paper introduces the chaos theory into the GWO algorithm with the aim of accelerating its global convergence speed. Firstly, detailed studies are carried out on thirteen standard constrained benchmark problems with ten different chaotic…
Abstract In the case of a high-valuable asset, the Operation and Maintenance (O&M) phase requires heavy charges and more efforts than the installation (construction) phase, because it has long usage life and any accident of an asset during this period causes catastrophic damage to an industry. Recently, with the advent of emerging Information Communication Technologies…
Abstract The paper broadly addresses how Industry 4.0 program drivers will impact maintenance in aviation. Specifically, Industry 4.0 practices most suitable to aeronautical maintenance are selected, and a detailed exposure is provided. Advantages and open issues are widely discussed and case studies dealing with realistic scenarios are illustrated to support what has been proposed by…
