Approximated computation of belief functions for robust design optimization

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Abstract

This paper presents some ideas to reduce the computational cost of evidence-based robust design optimization. Evidence Theory crystallizes both the aleatory and epistemic uncertainties in the design parameters, providing two quantitative measures, Belief and Plausibility, of the credibility of the computed value of the design budgets. The paper proposes some techniques to compute an approximation of Belief and Plausibility at a cost that is a fraction of the one required for an accurate calculation of the two values. Some simple test cases will show how the proposed techniques scale with the dimension of the problem. Finally a simple example of spacecraft system design is presented.
Original languageEnglish
Number of pages18
Publication statusPublished - 23 Apr 2012
Event14th AIAA Non-Deterministic Approaches Conference - Honolulu, Hawaii, United States
Duration: 23 Apr 201226 Apr 2012

Conference

Conference14th AIAA Non-Deterministic Approaches Conference
CountryUnited States
CityHonolulu, Hawaii
Period23/04/1226/04/12

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    Vasile, M., Minisci, E., & Wijnands, Q. (2012). Approximated computation of belief functions for robust design optimization. Paper presented at 14th AIAA Non-Deterministic Approaches Conference, Honolulu, Hawaii, United States.