Multi-objective robust topology optimization with dynamic weighting

Riley, Mike and Dunning, Peter D. and Brampton, Christopher J. and Kim, H. Alicia (2014) Multi-objective robust topology optimization with dynamic weighting. In: International Conference on Engineering and Applied Sciences Optimization, 4-6 June 2014, Kos, Greece.

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Abstract

A common robust topology optimization is formulated as a weighted sum of expected and variance of the objective functions for the given uncertainties. This has recently been applied to topology optimization with uncertainties in loading, [1]. Figure 1(a) shows the Pareto front of solutions found using uniformly distributed weightings. This front suffers from crowding for weight values < 0.5 and is sparsely populated for weights > 0.625. In the general case, the two goals of multi-objective optimization are; to find the most diverse set of Pareto optimal solutions, and, to discover solutions as close as possible to the true Pareto front. This paper presents schemes to achieve both these goals.

Keywords:Topology optimization, Pareto optimality, multi-objective optimisation
Subjects:H Engineering > H100 General Engineering
H Engineering > H143 Structural Mechanics
Divisions:College of Science > School of Engineering
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ID Code:13763
Deposited On:08 Apr 2014 14:59

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