Olivier Regnier-Coudert

23 papers A 5B 8Journal 2Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
Stochastic Mixing and Differential Privacy in Utility-Preserving Data Anonymization.
SSP
Alban-Félix Barreteau, Eric Le Carpentier, Olivier Regnier-Coudert, Saïd Moussaoui, Pierre-Antoine Gourraud
2021 — conf
An empirical evaluation of permutation-based policies for stochastic RCPSP.
GECCO Companion
Olivier Regnier-Coudert, Guillaume Povéda
2019 A conf
Evolutionary approaches to dynamic earth observation satellites mission planning under uncertainty.
GECCO
Guillaume Povéda, Olivier Regnier-Coudert, Florent Teichteil-Königsbuch, Gérard Dupont, Alexandre Arnold, Jonathan Guerra, Mathieu Picard
2018 B conf
An Analysis of Indirect Optimisation Strategies for Scheduling.
CEC
Charles Neau, Olivier Regnier-Coudert, John A. W. McCall
2018 B conf
Performance Analysis of GA and PBIL Variants for Real-World Location-Allocation Problems.
CEC
Reginald Ankrah, Olivier Regnier-Coudert, John A. W. McCall, Anthony Conway, Andrew Hardwick
2017 B conf
A Random Key based Estimation of Distribution Algorithm for the Permutation Flowshop Scheduling Problem.
CEC
Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert, Liam Bowie
2017 B conf
Estimation of distribution algorithms for the Multi-Mode Resource Constrained Project scheduling problem.
CEC
Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert
2016 B conf
BPGA-EDA for the multi-mode resource constrained project scheduling problem.
CEC
Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert
2016 A conf
RK-EDA: A Novel Random Key Based Estimation of Distribution Algorithm.
PPSN
Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert
2015 A conf
Ant Colony and Surrogate Tree-Structured Models for Orderings-Based Bayesian Network Learning.
GECCO
Juan Ignacio Alonso-Barba, Luis de la Ossa, Olivier Regnier-Coudert, John A. W. McCall, José A. Gámez, José M. Puerta
2015 — conf
Fitness Landscape of the Factoradic Representation on the Permutation Flowshop Scheduling Problem.
LION
Marie-Eléonore Marmion, Olivier Regnier-Coudert
2015 — conf
Probabilistic Model Enhanced Genetic Algorithm for Multi-Mode Resource Constrained Project Scheduling Problem.
GECCO (Companion)
Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert
2014 A conf
Factoradic Representation for Permutation Optimisation.
PPSN
Olivier Regnier-Coudert, John A. W. McCall
2013 J jnl
An application of a GA with Markov network surrogate to feature selection.
Int. J. Syst. Sci.
Alexander E. I. Brownlee, Olivier Regnier-Coudert, John A. W. McCall, Stewart Massie, Stefan Stulajter
2013 — —
Bayesian network structure learning using characteristic properties of permutation representations with applications to prostate cancer treatment.
Olivier Regnier-Coudert
2013 A conf
Geometric-based sampling for permutation optimization.
GECCO
Olivier Regnier-Coudert, John A. W. McCall, Mayowa Ayodele
2013 — ch.
Understanding Team Dynamics with Agent-Based Simulation.
Transforming Field and Service Operations
Thierry Mamer, John A. W. McCall, Siddhartha Shakya, Gilbert Owusu, Olivier Regnier-Coudert
2012 B conf
An Island Model Genetic Algorithm for Bayesian network structure learning.
IEEE Congress on Evolutionary Computation
Olivier Regnier-Coudert, John A. W. McCall
2012 — conf
Competing Mutating Agents for Bayesian Network Structure Learning.
PPSN (1)
Olivier Regnier-Coudert, John A. W. McCall
2012 B conf
Landscape analysis for hyperheuristic Bayesian Network structure learning on unseen problems.
IEEE Congress on Evolutionary Computation
Yanghui Wu, John A. W. McCall, David Corne, Olivier Regnier-Coudert
2012 J jnl
Machine learning for improved pathological staging of prostate cancer: A performance comparison on a range of classifiers.
Artif. Intell. Medicine
Olivier Regnier-Coudert, John A. W. McCall, Robert Lothian, Thomas Lam, Sam McClinton, James N'Dow
2011 — conf
Privacy-preserving approach to bayesian network structure learning from distributed data.
GECCO (Companion)
Olivier Regnier-Coudert, John A. W. McCall
2010 B conf
Using a Markov network as a surrogate fitness function in a genetic algorithm.
IEEE Congress on Evolutionary Computation
Alexander E. I. Brownlee, Olivier Regnier-Coudert, John A. W. McCall, Stewart Massie