Forthcoming and Online First Articles

International Journal of Computer Aided Engineering and Technology

International Journal of Computer Aided Engineering and Technology (IJCAET)

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International Journal of Computer Aided Engineering and Technology (1 paper in press)

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  •   Free full-text access Open AccessComparing open-source optimisation algorithms for functionally graded material design: a thermoelastic case study
    ( Free Full-text Access ) CC-BY-NC-ND
    by Ryoichi Chiba 
    Abstract: In this study, we apply black-box optimisation (BBO) techniques using an open-source BBO framework, Optuna, to optimise the material composition of functionally graded materials (FGMs), specifically targeting residual thermal stress reduction in a uniformly cooled multi-layered FGM plate. We focus on three algorithms with an aim to compare their performance: the tree-structured Parzen estimator (TPE), the covariance matrix adaptation evolutionary strategy (CMA-ES), and the non-dominated sorting genetic algorithm II (NSGA-II). Our findings indicate that CMA-ES excels in optimisation quality, outperforming TPE and NSGA-II, despite TPE’s rapid convergence. We also observe that accounting for interactions among design variables may not always be beneficial and can hinder the optimisation process. This study not only showcases the effectiveness of BBO in material science but also guides material designers in selecting suitable optimisation techniques for complex engineering challenges.
    Keywords: optimal design; functionally graded material; FGM; thermal stress; thermoelasticity; black-box optimisation; BBO.
    DOI: 10.1504/IJCAET.2024.10063825