Publications associées à Reducing acquisition time for axon diameter mapping using global optimization in the spatial-angular-microstructure space

Robust optimization of control parameters for WEC arrays using stochastic methods

This work presents a new computational optimization framework for the robust control of parks of Wave Energy Converters (WEC) in irregular waves. The power of WEC parks is maximized with respect to the individual control damping and stiffness coefficients ...

MOX Modeling and Scientific Computing2023

Frequency-domain data-driven position-dependent controller synthesis for Cartesian Robots

Alireza Karimi, Philippe Louis Schuchert

Cartesian robots have position-dependent dynamics that should be accounted for in high performance applications. Traditional methods design Linear Time Invariant (LTI) controllers which are robustly stable with respect to position variations, but require a ...

2022

Global optimization of an encapsulated Si/SiO2L3 cavity with a 43 million quality factor

Vincenzo Savona, Juan Pablo Vasco Cano

We optimize a silica-encapsulated silicon L3 photonic crystal cavity for ultra-high quality factor by means of a global optimization strategy, where the closest holes surrounding the cavity are varied to minimize out-of-plane losses. We find an optimal val ...

2021

Dynamic lane restrictions on congested arterials

Nikolaos Geroliminis, Paul Richard Anderson

Buses operating in mixed traffic experience problems with delay and travel time variability in peak periods. Numerous transit priority measures are found in the literature but most rely on separating buses from other vehicles. Complete separation such as d ...

PERGAMON-ELSEVIER SCIENCE LTD2020

Maximum-likelihood estimation of kinetic parameters via the extent-based incremental approach

Dominique Bonvin, Julien Léo Billeter, Diogo Filipe Mateus Rodrigues

For lumped homogeneous reaction systems, this paper presents a kinetic model identification scheme that provides maximum-likelihood parameter estimates and guarantees convergence to global optimality. The use of the extent-based incremental approach allows ...

PERGAMON-ELSEVIER SCIENCE LTD2019

A Least-Squares/Relaxation Method for the Numerical Solution of the Three-Dimensional Elliptic Monge-Ampere Equation

Alexandre Caboussat, Dimitrios Gourzoulidis

In this article, we address the numerical solution of the Dirichlet problem for the three-dimensional elliptic Monge-Ampere equation using a least-squares/relaxation approach. The relaxation algorithm allows the decoupling of the differential operators fro ...

SPRINGER/PLENUM PUBLISHERS2018

Distributed Coupled Learning Over Adaptive Networks

Ali H. Sayed, Sulaiman A S A E Alghunaim

This work develops an effective distributed algorithm for the solution of stochastic optimization problems that involve partial coupling among both local constraints and local cost functions. While the collection of networked agents is interested in discov ...

IEEE2018

A Lagrangian relaxation method for a choice-based optimization framework capturing the demand-supply interaction

Michel Bierlaire, Shadi Sharif Azadeh, Meritxell Pacheco Paneque, Bernard Gendron

The integration of customer behavioral models in optimization provides a better understanding of the preferences of clients (the demand) to policy makers while planning for their systems (the supply). On the one hand, these preferences are formalized with ...

2017

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Reducing acquisition time for axon diameter mapping using global optimization in the spatial-angular-microstructure space

Robust optimization of control parameters for WEC arrays using stochastic methods

Frequency-domain data-driven position-dependent controller synthesis for Cartesian Robots

Global optimization of an encapsulated Si/SiO2L3 cavity with a 43 million quality factor

Dynamic lane restrictions on congested arterials

Seismic displacement demand prediction in non-linear domain: Optimization of the N2 method

Maximum-likelihood estimation of kinetic parameters via the extent-based incremental approach

Stochastic Frank-Wolfe for Composite Convex Minimization

A Least-Squares/Relaxation Method for the Numerical Solution of the Three-Dimensional Elliptic Monge-Ampere Equation

Distributed Coupled Learning Over Adaptive Networks

A Lagrangian relaxation method for a choice-based optimization framework capturing the demand-supply interaction

Graph Chatbot

Chattez avec Graph Search

Robust optimization of control parameters for WEC arrays using stochastic methods

Frequency-domain data-driven position-dependent controller synthesis for Cartesian Robots

Global optimization of an encapsulated Si/SiO2L3 cavity with a 43 million quality factor

Seismic displacement demand prediction in non-linear domain: Optimization of the N2 method

Maximum-likelihood estimation of kinetic parameters via the extent-based incremental approach

Stochastic Frank-Wolfe for Composite Convex Minimization

Dynamic lane restrictions on congested arterials

A Least-Squares/Relaxation Method for the Numerical Solution of the Three-Dimensional Elliptic Monge-Ampere Equation

Distributed Coupled Learning Over Adaptive Networks

A Lagrangian relaxation method for a choice-based optimization framework capturing the demand-supply interaction