Abstract
Re-Design for Robustness (RDR) represents a practical class of problems, where a limited set of components of an existing product are re-designed to improve the overall robustness of the product. RDR is still a common inefficient, expensive and a time consuming industry ritual, where component sensitivities are sequentially analyzed and altered with human experts in loop. In this paper, we introduce an automated approach, wherein a trade-off set of design variants (varying number of altered components) spanning the entire a range of feasibility and performance robustness are identified using a decomposition based evolutionary optimization algorithm. The benefits offered by the approach are highlighted using two re-design optimization problems from the automotive industry.
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Singh, H., Asafuddoula, M., Alam, K., Ray, T. (2015). Re-design for Robustness: An Approach Based on Many Objective Optimization. In: Gaspar-Cunha, A., Henggeler Antunes, C., Coello, C. (eds) Evolutionary Multi-Criterion Optimization. EMO 2015. Lecture Notes in Computer Science(), vol 9019. Springer, Cham. https://doi.org/10.1007/978-3-319-15892-1_23
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DOI: https://doi.org/10.1007/978-3-319-15892-1_23
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