A novel affine arithmetic method to solve optimal power flow problems with uncertainties

M Pirnia, CA Cañizares… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
An affine arithmetic (AA) method is proposed in this paper to solve the optimal power flow
(OPF) problem with uncertain generation sources. In the AA-based OPF problem, all the …

Global Optimization Based on Contractor Programming: An Overview of the IBEX Library

J Ninin - Mathematical Aspects of Computer and Information …, 2016 - Springer
IBEX is an open-source C++ library for constraint processing over real numbers. It provides
reliable algorithms for handling non-linear constraints. In particular, roundoff errors are also …

A contractor based on convex interval taylor

I Araya, G Trombettoni, B Neveu - … on Integration of Artificial Intelligence (AI …, 2012 - Springer
Interval Taylor has been proposed in the sixties by the interval analysis community for
relaxing continuous non-convex constraint systems. However, it generally produces a non …

The analytic image

JP Havlicek, JW Havlicek… - … of International Conference …, 1997 - ieeexplore.ieee.org
We introduce a novel directional multidimensional Hilbert transform and use it to define the
complex-valued analytic image associated with a real-valued image. The analytic image …

Inner regions and interval linearizations for global optimization

G Trombettoni, I Araya, B Neveu… - Proceedings of the AAAI …, 2011 - ojs.aaai.org
Researchers from interval analysis and constraint (logic) programming communities have
studied intervals for their ability to manage infinite solution sets of numerical constraint …

Upper bounding in inner regions for global optimization under inequality constraints

I Araya, G Trombettoni, B Neveu, G Chabert - Journal of Global …, 2014 - Springer
In deterministic continuous constrained global optimization, upper bounding the objective
function generally resorts to local minimization at several nodes/iterations of the branch and …

Tighter McCormick relaxations through subgradient propagation

J Najman, A Mitsos - Journal of Global Optimization, 2019 - Springer
Tight convex and concave relaxations are of high importance in deterministic global
optimization. We present a method to tighten relaxations obtained by the McCormick …

Vibration-based damage detection with uncertainty quantification by structural identification using nonlinear constraint satisfaction with interval arithmetic

T Kernicky, M Whelan… - Structural Health …, 2019 - journals.sagepub.com
Structural identification has received increased attention over recent years for performance-
based structural assessment and health monitoring. Recently, an approach for formulating …

Node selection strategies in interval branch and bound algorithms

B Neveu, G Trombettoni, I Araya - Journal of Global optimization, 2016 - Springer
We present in this article new strategies for selecting nodes in interval Branch and Bound
algorithms for constrained global optimization. For a minimization problem the standard best …

On tightness and anchoring of McCormick and other relaxations

J Najman, A Mitsos - Journal of Global Optimization, 2019 - Springer
We say that a convex relaxation of a function is anchored at a particular point in their
domains if the values of the function and the relaxation at this point are equal. The opposite …