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Aymeric Blot
Aymeric Blot
Université de Rennes, IRISA/INRIA
Zweryfikowany adres z univ-rennes.fr - Strona główna
Tytuł
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Cytowane przez
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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
842016
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
472018
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
352019
Empirical comparison of search heuristics for genetic improvement of software
A Blot, J Petke
IEEE Transactions on Evolutionary Computation 25 (5), 1001-1011, 2021
262021
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
232017
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
172019
Refining fitness functions in test-based program repair
J Petke, A Blot
Proceedings of the IEEE/ACM 42nd International Conference on Software …, 2020
142020
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
142017
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
122021
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
112021
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
112020
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
112015
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
92023
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
92022
MAGPIE: Machine automated general performance improvement via evolution of software
A Blot, J Petke
arXiv preprint arXiv:2208.02811, 2022
72022
Neutrality in the graph coloring problem
ME Marmion, A Blot, L Jourdan, C Dhaenens
International Conference on Learning and Intelligent Optimization (LION …, 2013
62013
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
52020
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
52018
Using genetic improvement to optimise optimisation algorithm implementations
A Blot, J Petke
23ème congrès annuel de la Société Française de Recherche Opérationnelle et …, 2022
42022
Reinforcement learning for mutation operator selection in automated program repair
C Hanna, A Blot, J Petke
arXiv preprint arXiv:2306.05792, 2023
32023
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