Anti-optimisation of uncertain structures using interval analysis

By S. Mcwilliam. 2001

187 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Control and Systems Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c8ecd2ba8ca8ef6d615c4178ffae50d40dbf24f6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Hao Zhang
2. Rafi L. Muhanna
3. Robert L. Mullen
4. J. Hurtado
5. Diego A. Alvarez
6. J. Ramírez
7. Zhiliang Huang
8. Jiang Chao

In Control and Systems Engineering

1. J. Hurtado
2. Hao Zhang
3. Rafi L. Muhanna
4. Zhiliang Huang
5. Robert L. Mullen
6. Jiang Chao
7. Diego A. Alvarez
8. Bingjie Ni

In Statistics and Probability

1. Diego A. Alvarez
2. J. Hurtado
3. Hao Zhang
4. Zhiliang Huang
5. Jiang Chao
6. Rafi L. Muhanna
7. Robert L. Mullen
8. J. Ramírez

Citations in the corpus

• Discussions on non-probabilistic convex modelling for uncertain problems (2017, methodology): “Based on interval model, the anti-optimization analysis [7-10] was performed to seek for the least favorable response of a structural system under imposed constraints of uncertain-but-bounded parameters.”
• Fuzzy structural analysis based on fundamental reliability concepts (2012, background): “Moreover, the existence of other kinds of uncertainty, different from pure randomness, has fostered the consideration of different approaches to the problem such as fuzzy sets [14–16], antioptimization or convex-set modeling [8,17,12], interval analysis [12,18–22], random sets [23–25], ellipsoid mod”