output
20082026
most citedA Survey of Contextual Optimization Methods for Decision Making under Uncertainty

152 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2022Show all

7 papers · 1 filter

math.OC2022★ 7 cited

A stochastic integer programming approach to reserve staff scheduling with preferences

Carl Perreault-Lafleur, Margarida Carvalho, Guy Desaulniers

Nowadays, reaching a high level of employee satisfaction in efficient schedules is an important and difficult task faced by companies. We tackle a new variant of the personnel sche…

astro-ph.CO2022★ 50 cited

Measuring dark matter spikes around primordial black holes with Einstein Telescope and Cosmic Explorer

Philippa S. Cole, Adam Coogan, Bradley J. Kavanagh +1

Future ground-based gravitational wave observatories will be ideal probes of the environments surrounding black holes with masses . Binary black hole merg…

hep-ph2022★ 12 cited

Hazma Meets HERWIG4DM: Precision Gamma-Ray, Neutrino, and Positron Spectra for Light Dark Matter

Adam Coogan, Logan Morrison, Tilman Plehn +2

We present a new open-source package, Hazma 2, that computes accurate spectra relevant for indirect dark matter searches for photon, neutrino, and positron production from vector-m…

math.OC2022★ 18 cited

AILS-II: An Adaptive Iterated Local Search Heuristic for the Large-scale Capacitated Vehicle Routing Problem

Vinícius R. Máximo, Jean-François Cordeau, Mariá C. V. Nascimento

A recent study on the classical Capacitated Vehicle Routing Problem (CVRP) introduced an adaptive version of the widely used Iterated Local Search (ILS) paradigm, hybridized with a…

astro-ph.IM2022★ 19 cited

Efficient Gravitational Wave Template Bank Generation with Differentiable Waveforms

Adam Coogan, Thomas D. P. Edwards, Horng Sheng Chia +6

The most sensitive search pipelines for gravitational waves from compact binary mergers use matched filters to extract signals from the noisy data stream coming from gravitational…

cs.RO2022★ 15 cited

Ranging-Based Localizability Optimization for Mobile Robotic Networks

Justin Cano, Jerome Le Ny

In robotic networks relying on noisy range measurements between agents for cooperative localization, the achievable positioning accuracy strongly strongly depends on the network ge…

q-fin.PM2022★ 6 cited

How easy is it for investment managers to deploy their talent in green and brown stocks?

David Ardia, Keven Bluteau, Thien Duy Tran

We explore the realized alpha-performance heterogeneity in green and brown stocks' universes using the peer performance ratios of Ardia and Boudt (2018). Focusing on S&P 500 index…