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Short-term underground mine planning with uncertain activity durations using constraint programming
The short-term scheduling of activities in underground mines is an important step in mining operations. This procedure is a challenging optimization problem ...
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This paper presents PDENLPModels.jl a new Julia package for modeling and discretizing optimization problems with mixed algebraic and partial differential equ...
BibTeX referenceCrowdkeeping in last-mile delivery
In order to improve the efficiency of the last-mile delivery system when customers are possibly absent for deliveries, we propose the idea of employing the c...
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Most reinforcement learning methods for adaptive-traffic-signal-control require training from scratch to be applied on any new intersection or after any modi...
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In this study, we investigate the best remanufacturing strategy for the original equipment manufacturer (OEM) and independent remanufacturer (IR) in an innov...
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We use stochastic dynamic programming to design and solve an extended structural setting for which the illiquidity of the firm's assets under liquidation i...
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Providing the right data to a machine learning model is an important step to insure the performance of the model. Non-compliant training data instances may l...
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In this paper, we study a novel approach for data-driven decision-making under uncertainty in the presence of contextual information. Specifically, we addres...
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This research focuses on the bid optimization problem in the real-time bidding setting for online display advertisements, where an advertiser, or the adverti...
BibTeX referenceOn GSOR, the generalized successive overrelaxation method for double saddle-point problems
We consider the generalized successive overrelaxation (GSOR) method for solving a class of block three-by-three saddle-point problems. Based on the necessary...
BibTeX referenceThirty years of academic finance
We study how the financial literature has evolved in scale, research team composition, and article topicality across 32 finance-focused academic journals fro...
BibTeX referenceHybrid storage system control for real-time power balancing in a hybrid renewable energy system
Hybrid renewable energy systems (HRES), which co-locate two or more renewable energy sources, have proven to be promising frameworks for harnessing complemen...
BibTeX referenceOptimal localizability criterion for positioning with distance-deteriorated relative measurements
Position estimation in Multi-Robot Systems (MRS) relies on relative angle or distance measurements between the robots, which generally deteriorate as dista...
BibTeX referenceDeep reinforcement learning for option pricing and hedging under dynamic expectile risk measures
Recently equal risk pricing, a framework for fair derivative pricing, was extended to consider dynamic risk measures. However, all current implementations ei...
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Crew pairing problems (CPP) are regularly solved by airlines to produce crew schedules. The goal of CPPs is to find a set of pairings (sequence of flights a...
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The multi-depot scheduling problem (MDVSP) is one of the most studied problem in public transport service planning. It consists of assigning buses to each ti...
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Personnel scheduling consists in determining employee work schedules (sequences of work shifts and days off) to cover the demands of multiple jobs over a pl...
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Statistical learning models are proposed for the prediction of the probability of a spike in the electricity DART (day-ahead minus real-time price) spread. A...
BibTeX referenceA heuristic approach for the integrated production-transportation problem with process flexibility
We study an integrated multi-product production and distribution problem considering a network of multiple plants and customers, who are geographically dispe...
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We consider the problem of training a deep neural network with nonsmooth regularization to retrieve a sparse and efficient sub-structure. Our regularizer is ...
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