Aymeric Blot

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Laetitia JourdanProfesseur d'Université, Université de Lille 1, CRIStAL, CNRSVerified email at univ-lille1.fr
Holger HoosLeiden University, The Netherlands & University of British Columbia, CanadaVerified email at liacs.nl
Justyna PetkePrincipal Research Fellow and Proleptic Associate Professor, University College LondonVerified email at ucl.ac.uk
Clarisse DhaenensUniv. Lille, CNRS, Centrale Lille, UMR 9189 - CRIStAL - Centre de Recherche en Informatique SignalVerified email at univ-lille.fr
Heike TrautmannProfessor of Data Science: Statistics and Optimization, Department of Information SystemsVerified email at wi.uni-muenster.de
Shin YooKorea Advanced Institute of Science and TechnologyVerified email at kaist.ac.kr
Gabin AnKorea Advanced Institute of Science and TechnologyVerified email at kaist.ac.kr
Hernan AguirreShinshu UniversityVerified email at shinshu-u.ac.jp
Manuel López-IbáñezUniversity of Málaga, Spain /// Alliance Manchester Business School, University of Manchester, UKVerified email at uma.es
Patrick De Causmaeckergewoon hoogleraar computerwetenschappen, KU LeuvenVerified email at kuleuven.be
Oliver KraussUniversity of Applied Sciences Upper AustriaVerified email at fh-hagenberg.at
w b langdonUCLVerified email at cs.ucl.ac.uk
Bobby R. BruceUniversity of California, DavisVerified email at ucdavis.edu
Seongmin LeeKorea Advanced Institute of Science and TechnologyVerified email at kaist.ac.kr
Erik FredericksGrand Valley State UniversityVerified email at gvsu.edu
Yu HuangUniversity of MichiganVerified email at umich.edu
Michail BasiosChief Technology Officer, TurinTech.aiVerified email at cs.ucl.ac.uk
Markus WagnerAssociate Professor of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
Westley WeimerProfessor Computer Science, University of MichiganVerified email at umich.edu
Simos GerasimouLecturer in Computer Science, University of YorkVerified email at york.ac.uk

Aymeric Blot

University College London

Verified email at ucl.ac.uk - Homepage

Evolutionary Computation Software Engineering Metaheuristics Automated Algorithm Design Genetic Improvement


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MO-ParamILS: A multi-objective automatic algorithm configuration framework A Blot, HH Hoos, L Jourdan, MÉ Kessaci-Marmion, H Trautmann International Conference on Learning and Intelligent Optimization (LION), 32-47, 2016	41	2016
Automatically configuring multi-objective local search using multi-objective optimisation A Blot, A Pernet, L Jourdan, MÉ Kessaci-Marmion, HH Hoos International Conference on Evolutionary Multi-Criterion Optimization (EMO …, 2017	18	2017
Survey and unification of local search techniques in metaheuristics for multi-objective combinatorial optimisation A Blot, MÉ Kessaci, L Jourdan Journal of Heuristics 24 (6), 853-877, 2018	15	2018
PyGGI 2.0: language independent genetic improvement framework G An, A Blot, J Petke, S Yoo Joint Meeting on Foundations of Software Engineering (ESEC/FSE), 2019	11	2019
Automatic design of multi-objective local search algorithms: case study on a bi-objective permutation flowshop scheduling problem A Blot, L Jourdan, MÉ Kessaci International Conference on Genetic and Evolutionary Computation (GECCO …, 2017	11	2017
Neutral but a winner! How neutrality helps multiobjective local search algorithms A Blot, H Aguirre, C Dhaenens, L Jourdan, ME Marmion, K Tanaka International Conference on Evolutionary Multi-Criterion Optimization (EMO …, 2015	8	2015
Automatic configuration of multi-objective local search algorithms for permutation problems A Blot, MÉ Kessaci, L Jourdan, HH Hoos Evolutionary computation 27 (1), 147-171, 2019	7	2019
Neutrality in the graph coloring problem ME Marmion, A Blot, L Jourdan, C Dhaenens International Conference on Learning and Intelligent Optimization (LION …, 2013	5	2013
Fuzzy Edit Sequences in Genetic Improvement A Blot International Workshop on Genetic Improvement (GI@ICSE), 30-31, 2019	2	2019
Adaptive Multi-Objective Local Search Algorithms for the Permutation Flowshop Scheduling Problem A Blot, MÉ Kessaci, L Jourdan, P De Causmaecker International Conference on Learning and Intelligent Optimization (LION …, 2018	2	2018
Genetic Improvement@ ICSE 2020 WB Langdon, W Weimer, J Petke, E Fredericks, S Lee, E Winter, M Basios, ... ACM SIGSOFT Software Engineering Notes 45 (4), 24-30, 2020	1	2020
Refining Fitness Functions in Test-Based Program Repair J Petke, A Blot Proceedings of the IEEE/ACM 42nd International Conference on Software …, 2020	1	2020
Stack-based genetic improvement A Blot, J Petke Proceedings of the IEEE/ACM 42nd International Conference on Software …, 2020	1	2020
Synthetic benchmarks for genetic improvement A Blot, J Petke Proceedings of the IEEE/ACM 42nd International Conference on Software …, 2020	1	2020
Comparing Genetic Programming Approaches for Non-functional Genetic Improvement: Case Study: Improvement of MiniSAT’s Running Time A Blot, J Petke European Conference on Genetic Programming (EuroGP), 68-83, 2020	1*	2020
On adaptive specialisation in genetic improvement A Blot, J Petke International Conference on Genetic and Evolutionary Computation (GECCO …, 2019	1	2019
Configuration of a Dynamic MOLS Algorithm for Bi-objective Flowshop Scheduling C Pageau, A Blot, HH Hoos, ME Kessaci, L Jourdan International Conference on Evolutionary Multi-Criterion Optimization (EMO …, 2019	1	2019
Automatic Configuration of Bi-Objective Optimisation Algorithms: Impact of Correlation Between Objectives A Blot, HH Hoos, MÉ Kessaci, L Jourdan International Conference on Tools with Artificial Intelligence (ICTAI), 571-578, 2018	1	2018
Reacting and Adapting to the Environment — Designing Autonomous Methods for Multi-Objective Combinatorial Optimisation A Blot Université de Lille; CRIStAL UMR 9189, 2018	1	2018
AMH: a new Framework to Design Adaptive Metaheuristics A Blot, MÉ Kessaci-Marmion, L Jourdan International Conference on Metaheuristics (MIC), 2017	1	2017

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