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Communication Dans Un Congrès Année : 2018

Global Optimization with quantified constraints and integral objective function: an Interval Branch and Bound Approach

Résumé

The main benefits of Interval-Analysis-based methods are to cope with non-convexity and heterogenous optimization problems. We illustrate these approach by solving a structured robust control problems with H_2 and H_infinity constraint and model uncertainties. These problems can be formulated as an optimization problem with integral objective function and quantified constraints.
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Dates et versions

hal-04600486 , version 1 (04-06-2024)

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  • HAL Id : hal-04600486 , version 1

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Jordan Ninin, Dominique Monnet, Benoit Clement. Global Optimization with quantified constraints and integral objective function: an Interval Branch and Bound Approach. Optimization Days, May 2018, Montréal (Québec), Canada. ⟨hal-04600486⟩
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