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14 papers · 1 filter
Targeting Solutions in Bayesian Multi-Objective Optimization: Sequential and Batch Versions
David Gaudrie, Rodolphe Le Riche, Victor Picheny +2
Multi-objective optimization aims at finding trade-off solutions to conflicting objectives. These constitute the Pareto optimal set. In the context of expensive-to-evaluate functio…
Staff dimensioning in homecare services with uncertain demands
C. Rodriguez, Thierry Garaix, X. Xie +1
The problem addressed in this paper is how to calculate the amount of personnel required to ensure the activity of a home health care (HHC) center on a tactical horizon. Design of…
Proactive On-call Scheduling during a Seasonal Epidemic
Omar El-Rifai, Thierry Garaix, Xiaolan Xie
Overcrowding in Emergency Departments (EDs) is particularly problematic during seasonal epidemic crises. Each year during this period, EDs set off recourse actions to cope with the…
KineCluE: a Kinetic Cluster Expansion code to compute transport coefficients beyond the dilute limit
T. Schuler, L. Messina, M Nastar
This paper introduces the KineCluE code that implements the self-consistent mean-field theory for clusters of finite size. Transport coefficients are obtained as a sum over cluster…
Budgeted Multi-Objective Optimization with a Focus on the Central Part of the Pareto Front -- Extended Version
David Gaudrie, Rodolphe Le Riche, Victor Picheny +2
Optimizing nonlinear systems involving expensive computer experiments with regard to conflicting objectives is a common challenge. When the number of experiments is severely restri…
A Local-Search Based Heuristic for the Unrestricted Block Relocation Problem
Dominique Feillet, Sophie N. Parragh, Fabien Tricoire
The unrestricted block relocation problem is an important optimization problem encountered at terminals, where containers are stored in stacks. It consists in determining the minim…