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Directional Real-Time Optimization Applied to a Kite-Control Simulation Benchmark

Publications associées (80)

Parallel and Distributed Optimization of Dynamic Data Structures for Multimedia Embedded Systems

David Atienza Alonso, José Luis Risco Martin

Energy-efficient design of multimedia embedded systems demands optimizations in both hardware and software. Software optimization has no received much attention, although modern multimedia applications exhibit high resource utilization. In order to efficie ...

Springer Berlin Heidelberg2010

Exponential Natural Evolution Strategies

Daniël Pieter Wierstra, Tom Schaul

The family of natural evolution strategies (NES) offers a principled approach to real-valued evolutionary optimization by following the natural gradient of the expected fitness. Like the well-known CMA-ES, the most competitive algorithm in the field, NES c ...

2010

Méthodologie de la synthèse des systèmes énergétiques industriels

Raffaele Bolliger

This work presents a synthesis method that leads to the preliminary design of industrial energy systems. Such systems are composed of several technologies that transform, through a set of physical unit operations, raw materials and energy into products and ...

EPFL2010

An Indoor Flying Platform with Collision Robustness and Self-Recovery

Dario Floreano, Jean-Christophe Zufferey, Adrien Briod, Adam Klaptocz, Grégoire Boutinard Rouelle

This paper presents a new paradigm in the design of indoor flying robots that replaces collision avoidance with collision robustness. Indoor flying robots must operate within constrained and cluttered environments where even nature’s most sophisticated fly ...

IEEE2010

Dominance-Based Pareto-Surrogate for Multi-Objective Optimization

Ilya Loshchilov

Mainstream surrogate approaches for multi-objective problems build one approximation for each objective. Mono-surrogate approaches instead aim at characterizing the Pareto front with a single model. Such an approach has been recently introduced using a mix ...

2010

Optimal energy conversion system design under uncertain parameters

François Maréchal

The aim of this project is to integrate uncertainty analysis in a thermo-economic optimization framework to be used as decision making support in the design of energy systems.Tree comprehensive thermo-economic models of fuel cells systems have been develop ...

2009

UFO: Uncertainty Feature Optimization, an Implicit Paradigm for Problems with Noisy Data

Michel Bierlaire, Matteo Salani, Niklaus Eggenberg

Optimization problems due to noisy data solved using stochastic programming or robust optimization approaches require the explicit characterization of an uncertainty set U that models the nature of the noise. Such approaches depend on the modeling of the u ...

2009

Performance analysis of the cepstral technique for frequency-domain optical-coherence tomography

Michaël Unser

Recently, we proposed a noniterative cepstral technique for exact signal recovery in frequency-domain optical-coherence tomography. In this paper, we address the influence of measurement noise on the performance of the method. We derive analytical expressi ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2008

Performance Analysis of the Cepstral Technique for Frequency-Domain Optical-Coherence Tomography

Michaël Unser

IEEE2008

A novel multiple objective optimization framework for constraining conductance-based neuron models by experimental data

Henry Markram, Idan Segev

We present a novel framework for automatically constraining parameters of compartmental models of neurons, given a large set of experimentally-measured responses of these neurons. In experiments, intrinsic noise gives rise to a large variability (e.g., in ...

2007

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