Aymeric Blot

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Justyna PetkeProfessor of Software Engineering, University College London, United KingdomVerified email at ucl.ac.uk
Laetitia JourdanProfesseur d'Université, Université de Lille, CRIStAL, CNRSVerified email at univ-lille.fr
Marie-Eléonore KessaciUniversity of LilleVerified email at univ-lille.fr
Holger HoosRWTH Aachen University, Germany • Leiden University, Netherlands • University of British ColumbiaVerified email at cs.rwth-aachen.de
w b langdonUCLVerified email at cs.ucl.ac.uk
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
Clarisse DhaenensUniv. Lille, CNRS, Centrale Lille, UMR 9189 - CRIStAL - Centre de Recherche en Informatique SignalVerified email at univ-lille.fr
Heike TrautmannProfessor of Machine Learning and Optimisation, Paderborn University, GermanyVerified email at uni-paderborn.de
David ClarkComputer Science, University College LondonVerified email at ucl.ac.uk
Hernan AguirreShinshu UniversityVerified email at shinshu-u.ac.jp
Afnan A. Al SubaihinUniversity College London | King Saud UniversityVerified email at ucl.ac.uk
Vesna NowackPostdoctoral ResearcherVerified email at imperial.ac.uk
Federica SarroProfessor, University College LondonVerified email at ucl.ac.uk
Giovani GuizzoUniversity College London (UCL)Verified email at ucl.ac.uk
James CallanPhD Student, University College LondonVerified email at ucl.ac.uk
Patrick De CausmaeckerEmeritus Professor, Faculty of Engineering Science, Computer Science, KU LeuvenVerified email at kuleuven.be
Manuel López-IbáñezAlliance Manchester Business School, University of Manchester, UKVerified email at manchester.ac.uk
Carol HannaUniversity College LondonVerified email at ucl.ac.uk
Daniel BlackwellUniversity College LondonVerified email at ucl.ac.uk

Aymeric Blot

Université de Rennes, IRISA/INRIA

Verified email at univ-rennes.fr - Homepage

Genetic Improvement Search-Based Software Engineering Automated Algorithm Design


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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	68	2016
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	41	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	32	2019
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	21	2017
Empirical comparison of search heuristics for genetic improvement of software A Blot, J Petke IEEE Transactions on Evolutionary Computation 25 (5), 1001-1011, 2021	20	2021
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	16	2019
Refining fitness functions in test-based program repair J Petke, A Blot Proceedings of the IEEE/ACM 42nd International Conference on Software …, 2020	14	2020
Refining fitness functions for search-based program repair Z Bian, A Blot, J Petke 2021 IEEE/ACM International Workshop on Automated Program Repair (APR), 1-8, 2021	12	2021
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
Uniform edit selection for genetic improvement: Empirical analysis of mutation operator efficacy M Smigielska, A Blot, J Petke 2021 IEEE/ACM International Workshop on Genetic Improvement (GI), 1-8, 2021	10	2021
Evaluation of genetic improvement tools for improvement of non-functional properties of software S Zuo, A Blot, J Petke Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022	9	2022
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
Genetic improvement of LLVM intermediate representation WB Langdon, A Al-Subaihin, A Blot, D Clark European Conference on Genetic Programming (Part of EvoStar), 244-259, 2023	7	2023
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	7	2020
Neutrality in the graph coloring problem ME Marmion, A Blot, L Jourdan, C Dhaenens International Conference on Learning and Intelligent Optimization (LION …, 2013	6	2013
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	5	2020
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	5	2018
MAGPIE: Machine automated general performance improvement via evolution of software A Blot, J Petke arXiv preprint arXiv:2208.02811, 2022	3	2022
Using genetic improvement to optimise optimisation algorithm implementations A Blot, J Petke 23ème congrès annuel de la Société Française de Recherche Opérationnelle et …, 2022	3	2022
Refining fitness functions for search-based automated program repair: A case study with ARJA and ARJA-e G Guizzo, A Blot, J Callan, J Petke, F Sarro Search-Based Software Engineering: 13th International Symposium, SSBSE 2021 …, 2021	3	2021

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