Abstract
This paper presents a modification of our multi-objective concept-based EC method to enhance the simultaneous development of a robust conceptual front. It involves a hierarchy of abstractive descriptions of the design, and a structured EC approach. The robustness, treated here by a novel MOEA approach, is for uncertainties, which result from delaying decisions during the conceptual design stage. The suggested procedure involves a robust non-dominancy sorting algorithm.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Avigad, G., Moshaiov, A., Brauner, N.: Concept-based Interactive Brainstorming in Engineering Design. J. of ACIII 8(5), 454–459 (2004)
Avigad, G., Moshaiov, A., Brauner, N.: Pareto-directed Interactive Concept-based Evolution. Submitted to the J. of GPEM (2004), http://www.eng.tau.ac.il/~moshaiov/GPEM.pdf
Deb, K., Gupta, H.: Introducing Robustness in Multi-Objective Optimization. KanGAL Report No. 2004016 (2004)
Andersson, J.: Sensitivity analysis in Pareto optimal design. In: Proc. of the 4th Asia- Pacific Conf. on Simulated Evolution and Learning, SEAL 2002, Singapore, pp. 18–22 (2002)
Cristiano, J.J., White, C.C., Liker, J.K.: Application of multiattribute decision analysis to quality function deployment for target setting. IEEE Trans. on SMC – Part C - Applications and Reviews 31(3), 366–382 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Avigad, G., Moshaiov, A., Brauner, N. (2005). MOEA-Based Approach to Delayed Decisions for Robust Conceptual Design. In: Rothlauf, F., et al. Applications of Evolutionary Computing. EvoWorkshops 2005. Lecture Notes in Computer Science, vol 3449. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-32003-6_61
Download citation
DOI: https://doi.org/10.1007/978-3-540-32003-6_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25396-9
Online ISBN: 978-3-540-32003-6
eBook Packages: Computer ScienceComputer Science (R0)