Abstract
Optimization is a powerful tool that allows a designer to select the appropriate design variables to achieve high performance products. Many real-world optimization problems involve uncertainties. A solution for such a problem is expected to be robust to these uncertainties. Commonly, robustness is attained by designing the solution such that its performance is less influenced by negative effects of the uncertain parameters’ variations. This robustness may be viewed as a passive robustness, because once the solution’s design variables are chosen, the robustness is inherent in the solution and no further action is expected to suppress the effect of uncertainties.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Garcia MN (2013) Space debris and human spacecraft. https://www.nasa.gov/mission_pages/station/news/orbital_debris.html
Koren Y, Heisel U, Jovane F, Moriwaki T, Pritschow G, Ulsoy G, Van Brussel H (1999) Reconfigurable manufacturing systems. CIRP Ann-Manuf Technol 48(2):527–540
Gu P, Hashemian M, Nee A (2004) Adaptable design. CIRP Ann-Manuf Technol 53(2):539–557
Siddiqi A, De Weck OL, Iagnemma K (2006) Reconfigurability in planetary surface vehicles-modelling approaches and case study. J Br Interplanet Soc 59(12):450–460
Haldaman J, Parkinson MB (2010) Reconfigurable products and their means of reconfiguration. In: ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp 219–228. ASME
Salomon S, Avigad G, Fleming PJ, Purshouse RC (2014) Active robust optimization-enhancing robustness to uncertain environments. IEEE Trans Cybern 44(11):2221–2231
Salomon S, Avigad G, Purshouse RC, Fleming PJ (2016a) Gearbox design for uncertain load requirements using active robust optimization. Eng Optim 48(4):652–671
Salomon S, Purshouse RC, Avigad G, Fleming PJ (2015) An evolutionary approach to active robust multiobjective optimisation. In Gaspar-Cunha A, Henggeler Antunes C, Coello CC (eds) 8th International Conference on Evolutionary Multi-Criterion Optimization. Lecture Notes in Computer Science, vol 9019. Springer International Publishing, pp 141–155
Salomon S, Avigad G, Fleming PJ, Purshouse RC (2013a) Optimization of adaptation-a multi-objective approach for optimizing changes to design parameters. In: Purshouse R (ed) 7th International Conference on Evolutionary Multi-Criterion Optimization. Lecture Notes in Computer Science, vol 7811. Springer, Berlin Heidelberg, pp 21–35
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Salomon, S. (2019). Introduction. In: Active Robust Optimization: Optimizing for Robustness of Changeable Products. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-030-15050-1_1
Download citation
DOI: https://doi.org/10.1007/978-3-030-15050-1_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-15049-5
Online ISBN: 978-3-030-15050-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)