### 48 Papers in 2024

JSOSuite.jl is a new Julia package offering a user-friendly interface for continuous nonlinear optimization. The solvers available cover unconstrained to g...

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Major projects often deviate from their expected budget, schedule, and benefits. Existing techniques to improve the forecasted outcome, such as the Refer...

BibTeX referenceOn global fragmentation metrics as proxy for network blocking: Correlation, detection and prediction

Elastic Optical Networks (EONs) are challenged by spectrum fragmentation, which can obstruct the establishment of new connections. While the concept of fragm...

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High penetration of electric vehicle (EV) charging on distribution networks can lead to overloads of key equipment, thereby reducing their usable lifetime. T...

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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 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 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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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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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 ...

BibTeX referenceRipQP: 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...

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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...

Branch-and-Price

Integer (linear) programs are a standard way of formalizing a vast array of optimization problems in industry, services, management, science, and technology....

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

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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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...

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...

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...

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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...

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The arithmetic-geometric index is a newly proposed degree-based graph invariant in mathematical chemistry. We give a sharp upper bound on the value of this ...

BibTeX referenceJoint optimization of electric bus scheduling and fast charging infrastructure location planning

Transit authorities are rapidly replacing conventional buses with electric ones because of the increasing concerns about air quality, greenhouse gas emission...

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Millions of oil and gas wells are abandoned and orphaned around the world. Due to funding shortfalls, many abandoned and orphaned wells remain unplugged and ...

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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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The truck loading and inventory routing problems are the two most important decisions made by companies replenishing petrol stations. This paper investigates...

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This poster conceptually lays out recent advances in trustworthy machine learning (ML) that are of great interest for power systems applications like virtu...

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Efficiently solving a vehicle routing problem (`\(\mathcal{VRP}\)`

) in a practical runtime is a critical challenge for delivery management companies. This pa...

This paper describes a planning problem faced by a fast-growing petroleum company in West Africa. The problem is a complex variant of the petrol station repl...

BibTeX referenceCesogen: Cellular solid generator

Cellular solids are structures which have applications in mechanical engineering to make lightweight structures and heat exchangers, in biomedical engineer...

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Vehicle routing problems (VRPs) with deadlines have received significant attention around the world. Motivated by a real-world food delivery problem, we assu...

BibTeX referenceRevisiting Boehmer et al. (2021): Recent period, alternative method, different conclusions

We reassess Boehmer et al. (2021, BJZZ)'s seminal work on the predictive power of retail order imbalance (ROI) for future stock returns. First, we replicate ...

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We develop a trust-region method for minimizing the sum of a smooth term `\(f\)`

and a nonsmooth term `\(h\)`

, both of which can be nonconvex.
Each iteratio...

Corrigendum: A proximal quasi-Newton trust-region method for nonsmooth regularized optimization

The purpose of the present note is to bring clarifications to certain concepts and surrounding notation of Aravkin et al. (2022). All results therein contin...

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We develop a worst-case evaluation complexity bound for trust-region methods in the presence of unbounded Hessian approximations. We use the algorithm of Ar...

BibTeX referenceAn interior-point trust-region method for nonsmooth regularized bound-constrained optimization

We develop an interior-point method for nonsmooth regularized bound-constrained optimization problems. Our method consists of iteratively solving a sequence...

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The fine-tuning of Large Language Models (LLMs) has enabled them to recently achieve milestones in natural language processing applications. The emergenc...
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In this work, we study a class of two-player deterministic finite-horizon difference games with coupled inequality constraints, where both players have two t...

BibTeX referenceAlgorithme primal ajoutant des variables pour le problème du partitionnement d'ensemble généralisé

Le problème du partitionnement d'ensemble est un problème de programmation en nombres entiers très étudié. Le problème consiste à trouver une partition de tâ...

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Yield uncertainty is an important issue in various industries such as agriculture, food, and textile where the production output is reliant on uncontrollable...

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Bus scheduling in public transit consists in determining a set of bus schedules to cover a set of timetabled trips at minimum cost. This planning process has...

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We extend the `\(\alpha\)`

and `\(\beta\)`

characteristic functions (CFs) to
cooperative interval games, which constitute an interesting class of games
t...

The Harwell Subroutine Library (HSL) is a renowned suite of efficient and robust numerical algorithms designed to tackle complex mathematical problems such a...

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In this work, we propose a non-intrusive and training free method to detect behind-the-meter (BTM) electric vehicle (EV) charging events from the data measur...

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Determining optimal inventory replenishment decisions requires balancing the costs of excess inventory with shortage risks. While demand uncertainty has been...

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In this work, we improve the efficiency of Unit Commitment (UC) optimization solvers using a Graph Convolutional Neural Network (GCNN). In power systems, UC ...

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A challenge in aircraft design optimization is the presence of non-computable, so-called hidden, constraints that do not return a value in certain regions of...

BibTeX referenceThe heterogeneous-fleet electric vehicle routing problem with nonlinear charging functions

This paper introduces the Heterogeneous-Fleet Electric Vehicle Routing Problem with Nonlinear Charging Functions (HEVRP-NL). This problem involves routing a ...

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Inventory management for slow-moving items is challenging due to their high intermittence and lumpiness. Recent developments in machine learning and computat...

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The *cosine measure* was introduced in 2003 to quantify the richness of a finite positive spanning sets of directions in the context of derivative-free direc...