Publications associées à No free lunch in search and optimization

Policy-based Exploration of Equilibrium Representations (PEER): A topology grammar for generative conceptual structural design

Design exploration is a creative process that consists of the incremental generation of design candidates. Supported by digital means or not, the process handles the ill-structured nature of design and allows creativity to flourish through diversity of des ...

EPFL2022

Yapa: Accelerated Proximal Algorithm For Convex Composite Problems

Mireille El Gheche, Giovanni Chierchia

Proximal splitting methods are standard tools for nonsmooth optimization. While primal-dual methods have become very popular in the last decade for their flexibility, primal methods may still be preferred for two reasons: acceleration schemes are more effe ...

IEEE2021

From Data to Decisions: Distributionally Robust Optimization is Optimal

Daniel Kuhn, Peyman Mohajerin Esfahani

We study stochastic programs where the decision-maker cannot observe the distribution of the exogenous uncertainties but has access to a finite set of independent samples from this distribution. In this setting, the goal is to find a procedure that transfo ...

2021

Real-Time Optimization of Interconnected Systems via Modifier Adaptation, with Application to Gas-Compressor Stations

Predrag Milosavljevic

The process industries are characterized by a large number of continuously operating plants, for which optimal operation is of economic and ecological importance. Many industrial systems can be regarded as an arrangement of several subsystems, where outp ...

EPFL2018

Interior Point Decomposition for Multi-Agent Optimization

Colin Neil Jones, Altug Bitlislioglu, Ivan Pejcic

In this paper we present the application of the interior-point decomposition (IPD) method, which was originally formulated for stochastic programming, to optimization problems involving multiple agents that are coupled through constraints and objectives. I ...

2017

A concept of wireless and passive very-high temperature sensor

Paul Muralt, Ramin Matloub Aghdam, Andrea Mazzalai

There is a need for sensors capable operating at temperatures above 1000 degrees C. We describe an innovative sensor that might achieve this goal. The sensor comprises two main elements: a thermocouple and a surface acoustic wave (SAW) strain sensor. The c ...

Amer Inst Physics2017

Current Trends in Multidrug Optimization: An Alley of Future Successful Treatment of Complex Disorders

Patrycja Nowak-Sliwinska

The identification of effective and long-lasting cancer therapies still remains elusive, partially due to patient and tumor heterogeneity, acquired drug resistance, and single-drug dose-limiting toxicities. The use of drug combinations may help to overcome ...

Sage Publications Inc2017

Single Neuron Optimization as a Basis for Accurate Biophysical Modeling : The Case of Cerebellar Granule Cells

Felix Schürmann, Werner Alfons Hilda Van Geit, Stefano Masoli, Egidio D'Angelo

In realistic neuronal modeling, once the ionic channel complement has been defined, the maximum ionic conductance (Gi-max) values need to be tuned in order to match the firing pattern revealed by electrophysiological recordings. Recently, selection/mutatio ...

Frontiers Media Sa2017

Splitting Methods for Distributed Optimization and Control

Ye Pu

This thesis contributes towards the design and analysis of fast and distributed optimization algorithms based on splitting techniques, such as proximal gradient methods or alternation minimization algorithms, with the application of solving model predictiv ...

EPFL2016

Trace-based manycore partitioning of stream-processing applications

Marco Mattavelli, Simone Casale Brunet, Endri Bezati, Malgorzata Maria Michalska

Application performance on these processor array platforms is highly sensitive to how functionality is physically placed on the device, as this choice crucially determines communication latencies and congestion patterns of the on-chip inter-core communicat ...

2016

A Primal-dual Framework For Mixtures Of Regularisers

Volkan Cevher, Cosimo Aprile, Quoc Tran Dinh, Luca Baldassarre, Baran Gözcü

Effectively solving many inverse problems in engineering requires to leverage all possible prior information about the structure of the signal to be estimated. This often leads to tackling constrained optimization problems with mixtures of regularizers. Pr ...

2015

Rapid optimization of drug combinations for the optimal angiostatic treatment of cancer

Paul Joseph Dyson, Hubert van den Bergh, Patrycja Nowak-Sliwinska

Drug combinations can improve angiostatic cancer treatment efficacy and enable the reduction of side effects and drug resistance. Combining drugs is non-trivial due to the high number of possibilities. We applied a feedback system control (FSC) technique w ...

2015

Exploiting Natural Dynamics in Biped Locomotion using Variable Impedance Control

Auke Ijspeert, Jesse van den Kieboom

Biped locomotion has been extensively studied using various approaches, including Passive Dynamic Walking, ZMP-based control and biologically inspired muscle models. In biped locomotion robotics, there has been an increasing interest in variable impedance ...

2013

Energy system design under uncertainty

Matthias Dubuis

The current context leads energy system design to very demanding objectives, due to their variety. Indeed, despite an increasing energy demand, environment indicators are becoming always more important. So that for a given service, emission (and then assoc ...

EPFL2012

Efficiency of random search procedures along the silicon cluster series Sin (n=5-10, 15 and 20)

Anne-Clémence Corminboeuf, Fabrice Avaltroni

The efficiency of the simplest isomeric search procedure consisting in random generation of sets of atomic coordinates followed by density functional theory geometry optimization is tested on the silicon cluster series (Si-5-10,Si-15,Si-20). Criteria such ...

Wiley-Blackwell2011

Efficient methods for near-optimal sequential decision making under uncertainty

Christos Dimitrakakis

This chapter discusses decision making under uncertainty. More specifically, it offers an overview of efficient Bayesian and distribution-free algorithms for making near-optimal sequential decisions under uncertainty about the environment. Due to the uncer ...

2010

Optimization of electroacoustic absorbers by means of designed experiments

Hervé Lissek, Romain Boulandet

In multivariate systems, when it comes to identifying actual operating conditions ranges, or optimal settings, the use of constrained optimization is often required. Among the different tools for the engineer to perform such optimization, designed experime ...

Elsevier2010

E[DPOP]: Distributed Constraint Optimization under Stochastic Uncertainty using Collaborative Sampling

Boi Faltings, Thomas Léauté

Many applications that require distributed optimization also include uncertainty about the problem and the optimization criteria themselves. However, current approaches to distributed optimization assume that the problem is entirely known before optimizati ...

2009

Thermo-economic Optimization of a Solid Oxide Fuel Cell, Gas Turbine Hybrid System

François Maréchal, Daniel Favrat, Jan Van Herle, Nordahl Autissier, Francesca Palazzi

Background: The electricity production market benefits from combined cycles with their high efficiency. In the lower power range, Fuel Cells are a good candidate to combine with gas turbines. Such systems can achieve efficiencies of 60% and more. High tem ...

2005