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Publications associées (15)

A continuum approximation approach to the depot location problem in a crowd-shipping system

Nikolaos Geroliminis, Patrick Stefan Adriaan Stokkink

Last-mile delivery in the logistics chain contributes to congestion in urban networks due to frequent stops. Crowd-shipping is a sustainable and low-cost alternative to traditional delivery but relies heavily on the availability of occasional couriers. In ...

PERGAMON-ELSEVIER SCIENCE LTD2023

A note on universal inference

Anthony Christopher Davison, Timmy Rong Tian Tse

Universal inference enables the construction of confidence intervals and tests without regularity conditions by splitting the data into two parts and appealing to Markov's inequality. Previous investigations have shown that the cost of this generality is a ...

WILEY2022

An analysis of the impacts of green mobility strategies and technologies on different European energy system

François Maréchal, Jonas Schnidrig, Tuong-Van Nguyen

A successful decarbonization of the European Union, coupled with a high integration of renewable energy and ambitious targets for energy efficiency, can only be reached with a significant contribution from transport. This sector currently represents a quar ...

2021

Optimal Control Combining Emulation and Imitation to Acquire Physical Assistance Skills

Sylvain Calinon, Teguh Santoso Lembono, Amirreza Razmjoo Fard

paper studies exploiting action-level learning (imitation) in the optimal control problem context. Cost functions defined by the optimal control methods are similar to the goal-level learning (emulation) in animals. However, imitating the robot's or others ...

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

K-Adaptability in Two-Stage Robust Binary Programming

Daniel Kuhn, Wolfram Wiesemann, Grani Adiwena Hanasusanto

Over the last two decades, robust optimization has emerged as a computationally attractive approach to formulate and solve single-stage decision problems affected by uncertainty. More recently, robust optimization has been successfully applied to multi-sta ...

Informs2015

A model to determine the optimal parameters in a machining process for the most profitable utilization of machining energy

Ian Anthony Stroud, Olcay Akten, Muhammad Arif

This article presents a model within the sustainable machining paradigm. In general, the optimization of machining process for the minimum energy consumption alone does not have sufficient impetus for application in the manufacturing companies wherein prof ...

Sage Publications Ltd2015

Misuse-Resistant Variants of the OMD Authenticated Encryption Mode

Serge Vaudenay, Damian Vizár, Reza Reyhanitabar

We present two variants of OMD which are robust against nonce misuse. Security of OMD---a CAESAR candidate---relies on the assumption that implementations always ensure correct use of nonce (a.k.a. message number); namely that, the nonce never gets repeate ...

Springer-Verlag Berlin2014

An Optimal Policy for Target Localization with Application to Electron Microscopy

Pascal Fua, Raphael Sznitman, Aurélien Lucchi

This paper considers the task of finding a target location by making a limited number of sequential observations. Each observation results from evaluating an imperfect classifier of a chosen cost and accuracy on an interval of chosen length and position. W ...

2013

Capital Supply Uncertainty, Cash Holdings, and Investment

Semyon Malamud, Erwan Morellec, Julien Hugonnier

We develop a model of investment, financing, and cash management decisions in which investment is lumpy and firms face uncertainty regarding their ability to raise funds in the capital markets. We characterize optimal policies explicitly and show that the ...

2013

3.5-D Integration: A Case Study

Giovanni De Micheli, Pierre-Emmanuel Julien Marc Gaillardon, Ciprian Seiculescu, Vasileios Pavlidis, Shashi Kanth Bobba

Two diverse manufacturing techniques for building 3-D integrated systems are vertical integration with Through-Silicon-Vias (TSVs), also referred to as 3-D TSV integration, and 3-D monolithic integration. In this paper, we present a hybrid integration sche ...

2013

Regulatory Institutions and Governance Costs : The Case of the Postal Sector

Martin Maegli

In recent decades, the European postal industry has undergone profound reforms, which aim to promote competition while simultaneously maintaining a high level of universal services for consumers. It is often put forth that market opening and the emergence ...

EPFL2012

A Primal-Dual Reconstruction Algorithm For Fluorescence And Bioluminescence Tomography

Michaël Unser, Jean-Charles Baritaux

We introduce a new primal-dual reconstruction algorithm for fluorescence and bioluminescence tomography. As often in optical tomography, image reconstruction is performed by optimizing a multi-term convex cost function. Current reconstruction methods emplo ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Decision support methods for closed-loop conceptual design

The dissertation deals with closed-loop product lifecycle management (PLM) approaches for the product conceptual design improvement using gathered data during the usage period of a product. In closed-loop PLM, the data generated in each lifecycle phase can ...

EPFL2009

Rational approach for the management of a medium size bridge stock

Eugen Brühwiler

Infrastructure managers of medium size bridge stocks are being faced with the task of approximating short, mid to long term financial needs for their infrastructure. This task is particularly demanding due to the lack of relevant information, in particular ...

Taylor & Francis Group2008