Olivier Regnier-Coudert

According to our database, Olivier Regnier-Coudert authored at least 22 papers between 2010 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

An empirical evaluation of permutation-based policies for stochastic RCPSP.

Olivier Regnier-Coudert, Guillaume Povéda

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2019

Evolutionary approaches to dynamic earth observation satellites mission planning under uncertainty.

Guillaume Povéda, Olivier Regnier-Coudert, Florent Teichteil-Königsbuch, Gérard Dupont, Alexandre Arnold, Jonathan Guerra, Mathieu Picard

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018

An Analysis of Indirect Optimisation Strategies for Scheduling.

Charles Neau, Olivier Regnier-Coudert, John A. W. McCall

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Performance Analysis of GA and PBIL Variants for Real-World Location-Allocation Problems.

Reginald Ankrah, Olivier Regnier-Coudert, John A. W. McCall, Anthony Conway, Andrew Hardwick

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

A Random Key based Estimation of Distribution Algorithm for the Permutation Flowshop Scheduling Problem.

Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert, Liam Bowie

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Estimation of distribution algorithms for the Multi-Mode Resource Constrained Project scheduling problem.

Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

RK-EDA: A Novel Random Key Based Estimation of Distribution Algorithm.

Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

BPGA-EDA for the multi-mode resource constrained project scheduling problem.

Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Fitness Landscape of the Factoradic Representation on the Permutation Flowshop Scheduling Problem.

Marie-Eléonore Marmion, Olivier Regnier-Coudert

Proceedings of the Learning and Intelligent Optimization - 9th International Conference, 2015

Probabilistic Model Enhanced Genetic Algorithm for Multi-Mode Resource Constrained Project Scheduling Problem.

Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Ant Colony and Surrogate Tree-Structured Models for Orderings-Based Bayesian Network Learning.

Juan Ignacio Alonso-Barba, Luis de la Ossa, Olivier Regnier-Coudert, John A. W. McCall, José A. Gámez, José Miguel Puerta

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014

Factoradic Representation for Permutation Optimisation.

Olivier Regnier-Coudert, John A. W. McCall

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

2013

Bayesian network structure learning using characteristic properties of permutation representations with applications to prostate cancer treatment.

Olivier Regnier-Coudert

PhD thesis, 2013

An application of a GA with Markov network surrogate to feature selection.

Alexander E. I. Brownlee, Olivier Regnier-Coudert, John A. W. McCall, Stewart Massie, Stefan Stulajter

Int. J. Syst. Sci., 2013

Geometric-based sampling for permutation optimization.

Olivier Regnier-Coudert, John A. W. McCall, Mayowa Ayodele

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Understanding Team Dynamics with Agent-Based Simulation.

Thierry Mamer, John A. W. McCall, Siddhartha Shakya, Gilbert Owusu, Olivier Regnier-Coudert

Proceedings of the Transforming Field and Service Operations, 2013

2012

Machine learning for improved pathological staging of prostate cancer: A performance comparison on a range of classifiers.

Olivier Regnier-Coudert, John A. W. McCall, Robert Lothian, Thomas Lam, Sam McClinton, James N'Dow

Artif. Intell. Medicine, 2012

Competing Mutating Agents for Bayesian Network Structure Learning.

Olivier Regnier-Coudert, John A. W. McCall

Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Landscape analysis for hyperheuristic Bayesian Network structure learning on unseen problems.

Yanghui Wu, John A. W. McCall, David Corne, Olivier Regnier-Coudert

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

An Island Model Genetic Algorithm for Bayesian network structure learning.

Olivier Regnier-Coudert, John A. W. McCall

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Privacy-preserving approach to bayesian network structure learning from distributed data.

Olivier Regnier-Coudert, John A. W. McCall

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

Using a Markov network as a surrogate fitness function in a genetic algorithm.

Alexander E. I. Brownlee, Olivier Regnier-Coudert, John A. W. McCall, Stewart Massie

Proceedings of the IEEE Congress on Evolutionary Computation, 2010