# Cahiers du GERAD

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### 3115 results — page 2 of 156

The increasing penetration of renewable electricity generation as well as the implementation of demand response programs has led to new challenges in the ope...

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Local search methods start from a feasible solution and improve it by successive minor modifications until a solution that cannot be further improved is enco...

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We consider mean field social optimization in nonlinear diffusion models. By dynamic programming with a representative agent employing cooperative optimize...

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Governments are motivated to subsidize profit-driven firms that manufacture zero-emission vehicles to ensure they become price-competitive. This paper intr...

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We extend traditional complexity analyses of trust-region methods for unconstrained, possibly nonconvex, optimization. Whereas most complexity analyses as...

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We consider a provider of electric vehicle charging that operates a network of charging stations and uses time-varying pricing to maximize profit and reduce ...

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The water pump scheduling problem is an optimisation model that determines which water pumps will be turned on or off at each time period over a given time h...

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This work introduces a _partitioned optimization framework_ (POf) to ease the solving process for optimization problems for which fixing some variables to a...
```

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This paper addresses the limitations of current satellite payload architectures, which are predominantly hardware-driven and lack the flexibility to adapt to...

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This paper tackles a complex variant of the unit commitment (UC) problem at Hydro-Quebec, referred to as the transient stability constrained unit commitmen...

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This paper introduces a new step to the *Direct Search Method* (DSM) to strengthen its convergence analysis.
By design, this so-called *covering step* may e...

RipQP: A multi-precision regularized predictor-corrector method for convex quadratic optimization

We describe the implementation of RipQP, an interior-point algorithm for convex quadratic optimization. Our Julia implementation is open source, and accommo...

BibTeX reference\(\texttt{solar}\): A solar thermal power plant simulator for blackbox optimization benchmarking

This work introduces solar, a collection of ten optimization problem instances for benchmarking blackbox optimization solvers. The instances present differ...

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The aim of this paper is to analyze the effect of adaptive investments on international environmental agreements (IEAs) focused on reducing greenhouse gas ...

BibTeX referenceOptimal text-based time-series indices

We propose an approach to construct text-based time-series indices in an optimal way -typically, indices that maximize the contemporaneous relation or the pr...

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In 1960, Ailsa Land and Alison Doig published the first linear programming-based branch-and-bound algorithm for the solution of mixed integer linear progra...

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Heterogeneous datasets emerge in various machine learning or optimization applications that feature different data sources, various data types and complex re...

BibTeX referenceA general error analysis for randomized low-rank approximation with application to data assimilation

Randomized algorithms have proven to perform well on a large class of numerical linear algebra problems. Their theoretical analysis is critical to provide gu...

BibTeX referenceStatistical testing of scaling models for precipitation Intensity-Duration-Frequency curves

Producing accurate precipitation Intensity-Duration-Frequency (IDF) curves necessitates robust statistical methodologies. Employing a scaling model to combin...

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Augmented Lagrangian (AL) methods are a well known class of algorithms for solving constrained optimization problems. They have been extended to the solution...

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