### 31 Papers in 2024

Load-flow analyses of islanded microgrids commonly assumes constant line admittances with respect to the grid's nominal frequency. This article analyzes erro...

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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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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...

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...