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ORCIDOlivier Regnier-Coudert
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- affiliation: Octopize
- affiliation: Robert Gordon University, UK
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2020 – today
- 2021
[c18]Olivier Regnier-Coudert, Guillaume Povéda:
An empirical evaluation of permutation-based policies for stochastic RCPSP. GECCO Companion 2021: 1451-1458
2010 – 2019
- 2019
- [c17]Guillaume Povéda, Olivier Regnier-Coudert, Florent Teichteil-Königsbuch
, Gérard Dupont, Alexandre Arnold, Jonathan Guerra, Mathieu Picard:
Evolutionary approaches to dynamic earth observation satellites mission planning under uncertainty. GECCO 2019: 1302-1310 - 2018
- [c16]Reginald Ankrah, Olivier Regnier-Coudert, John A. W. McCall, Anthony Conway, Andrew Hardwick:
Performance Analysis of GA and PBIL Variants for Real-World Location-Allocation Problems. CEC 2018: 1-8 - [c15]Charles Neau, Olivier Regnier-Coudert, John A. W. McCall:
An Analysis of Indirect Optimisation Strategies for Scheduling. CEC 2018: 1-8 - 2017
- [c14]Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert:
Estimation of distribution algorithms for the Multi-Mode Resource Constrained Project scheduling problem. CEC 2017: 1579-1586 - [c13]Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert, Liam Bowie:
A Random Key based Estimation of Distribution Algorithm for the Permutation Flowshop Scheduling Problem. CEC 2017: 2364-2371 - 2016
- [c12]Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert:
BPGA-EDA for the multi-mode resource constrained project scheduling problem. CEC 2016: 3417-3424 - [c11]Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert:
RK-EDA: A Novel Random Key Based Estimation of Distribution Algorithm. PPSN 2016: 849-858 - 2015
- [c10]Juan Ignacio Alonso-Barba, Luis de la Ossa, Olivier Regnier-Coudert, John A. W. McCall, José A. Gámez, José Miguel Puerta:
Ant Colony and Surrogate Tree-Structured Models for Orderings-Based Bayesian Network Learning. GECCO 2015: 543-550 - [c9]Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert:
Probabilistic Model Enhanced Genetic Algorithm for Multi-Mode Resource Constrained Project Scheduling Problem. GECCO (Companion) 2015: 745-746 - [c8]Marie-Eléonore Marmion, Olivier Regnier-Coudert:
Fitness Landscape of the Factoradic Representation on the Permutation Flowshop Scheduling Problem. LION 2015: 151-164 - 2014
- [c7]Olivier Regnier-Coudert, John A. W. McCall:
Factoradic Representation for Permutation Optimisation. PPSN 2014: 332-341 - 2013
- [b1]Olivier Regnier-Coudert:
Bayesian network structure learning using characteristic properties of permutation representations with applications to prostate cancer treatment. Robert Gordon University, Aberdeen, UK, 2013 - [j2]Alexander E. I. Brownlee, Olivier Regnier-Coudert, John A. W. McCall, Stewart Massie, Stefan Stulajter:
An application of a GA with Markov network surrogate to feature selection. Int. J. Syst. Sci. 44(11): 2039-2056 (2013) - [c6]Olivier Regnier-Coudert, John A. W. McCall, Mayowa Ayodele:
Geometric-based sampling for permutation optimization. GECCO 2013: 399-406 - [p1]Thierry Mamer, John A. W. McCall, Siddhartha Shakya, Gilbert Owusu, Olivier Regnier-Coudert:
Understanding Team Dynamics with Agent-Based Simulation. Transforming Field and Service Operations 2013: 183-198 - 2012
- [j1]Olivier Regnier-Coudert, John A. W. McCall, Robert Lothian, Thomas Lam, Sam McClinton, James N'Dow:
Machine learning for improved pathological staging of prostate cancer: A performance comparison on a range of classifiers. Artif. Intell. Medicine 55(1): 25-35 (2012) - [c5]Olivier Regnier-Coudert, John A. W. McCall:
An Island Model Genetic Algorithm for Bayesian network structure learning. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c4]Yanghui Wu, John A. W. McCall, David Corne, Olivier Regnier-Coudert:
Landscape analysis for hyperheuristic Bayesian Network structure learning on unseen problems. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c3]Olivier Regnier-Coudert, John A. W. McCall:
Competing Mutating Agents for Bayesian Network Structure Learning. PPSN (1) 2012: 216-225 - 2011
- [c2]Olivier Regnier-Coudert, John A. W. McCall:
Privacy-preserving approach to bayesian network structure learning from distributed data. GECCO (Companion) 2011: 815-816 - 2010
- [c1]Alexander E. I. Brownlee, Olivier Regnier-Coudert, John A. W. McCall, Stewart Massie:
Using a Markov network as a surrogate fitness function in a genetic algorithm. IEEE Congress on Evolutionary Computation 2010: 1-8
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