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Within the context of optimization under uncertainty, a well-known alternative to minimizing expected value or the worst-case scenario consists in minimizing...
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This study assesses the contribution of various forest-based bioenergy technologies when transitioning to a low carbon economy. A detailed modeling of differ...
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A compact operations research (OR) model is proposed to analyse the prospects of meeting the Paris Agreement targets when direct air capture technologies can...
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Product recalls are often consequences of quality failures. While such failures are related to a manufacturer's or supplier's design quality, the perceived q...
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It is a challenge to sustain cooperation in a finite-horizon dynamic game. Since players generally have an incentive to deviate to their noncooperative str...
BibTeX referenceMachine-learning-based arc selection for constrained shortest path problems in column generation
Column generation is an iterative method used to solve a variety of optimization problems. It decomposes the problem into two parts: a master problem, and on...
BibTeX referenceDCISolver.jl: A Julia solver for nonlinear optimization using dynamic control of infeasibility
This paper presents DCISolver.jl a new Julia package implementating the Dynamic Control of Infeasibility method (DCI), introduced by Bielschowsky & Gomes (20...
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Thermostatically-controlled loads have a significant impact on electricity demand after service is restored following an outage, a phenomenon known as cold l...
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With the ongoing energy transition, electric power and energy systems are becoming increasingly multi-dimensional and complex with higher levels of uncertain...
BibTeX referenceDétection de communautés dynamiques dans les réseaux évolutifs de développeurs au sein de Chrome
The time-stamped database provided by Google traces the code contributions to Chrome browser on the period from September 2008 to January 2014. It describes ...
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In blackbox optimization, evaluation of the objective and constraint functions is time consuming. In some situations, constraint values may be evaluated in...
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In this paper, we study a distributionally robust multi-item newsvendor problem, where the demand distribution is unknown but specified with a general event-...
BibTeX referenceA derivative-free approach to optimal control problems with a piecewise constant Mayer cost function
A piecewise constant Mayer cost function is used to model optimal control problems in which the state space is partitioned into several regions, each having ...
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The use of space through satellites is more and more important for nations, companies, and individuals. However, since the first satellite was sent up in 19...
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We introduce an iterative method named GPMR for solving 2X2 block unsymmetric linear systems. GPMR is based on a new process that reduces simultaneously...
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This paper presents an efficient method for extracting the second-order sensitivities from a system of implicit nonlinear equations. We design a custom aut...
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Production yield can be highly volatile and uncertain, especially in industries where exogenous and environmental factors such as the climate or raw material...
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For a simple connected graph G
, let D(G), Tr(G)
, DL(G)=Tr(G)−D(G)
, and DQ(G)=Tr(G)+D(G)
be the distance matrix, the diagonal m...
A small polygon is a polygon of unit diameter. The maximal area of a small polygon with n=2m
vertices is not known when m≥7
. In this paper, w...
The Tenth Montreal IPSW took place on August 13-27, 2020, and was jointly organized by the Centre de recherches mathématiques (CRM) and the Institute for Dat...
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