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ORCIDAymeric Blot
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- affiliation: University College London, UK
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2020 – today
- 2024
[j6]William B. Langdon, Gabin An, Aymeric Blot, Vesna Nowack, Justyna Petke, Shin Yoo, Oliver Krauss, Erik M. Fredericks, Daniel Blackwell:
The 13th International Workshop on Genetic Improvement(GI @ ICSE 2024). ACM SIGSOFT Softw. Eng. Notes 49(3): 42-50 (2024)- 2023
- [j5]William B. Langdon, Vesna Nowack, Justyna Petke, Markus Wagner, Hyeonseok Lee, Erik M. Fredericks, Gabin An, Aymeric Blot:
Genetic Improvement @ ICSE 2023. ACM SIGSOFT Softw. Eng. Notes 48(4): 51-59 (2023) - [c22]William B. Langdon, Afnan A. Al-Subaihin, Aymeric Blot
, David Clark:
Genetic Improvement of LLVM Intermediate Representation. EuroGP 2023: 244-259 - [c21]William B. Langdon, Justyna Petke, Aymeric Blot, David Clark:
Genetically Improved Software with fewer Data Cache Misses. GECCO Companion 2023: 799-802 - [i5]William B. Langdon, Justyna Petke, Aymeric Blot, David Clark:
GI Software with fewer Data Cache Misses. CoRR abs/2304.03235 (2023) - [i4]Carol Hanna, Aymeric Blot, Justyna Petke:
Reinforcement Learning for Mutation Operator Selection in Automated Program Repair. CoRR abs/2306.05792 (2023) - 2022
- [c20]Shengjie Zuo, Aymeric Blot, Justyna Petke:
Evaluation of genetic improvement tools for improvement of non-functional properties of software. GECCO Companion 2022: 1956-1965 - [i3]Aymeric Blot, Justyna Petke:
MAGPIE: Machine Automated General Performance Improvement via Evolution of Software. CoRR abs/2208.02811 (2022) - [i2]Aymeric Blot, Justyna Petke:
A Comprehensive Survey of Benchmarks for Automated Improvement of Software's Non-Functional Properties. CoRR abs/2212.08540 (2022) - 2021
- [j4]Aymeric Blot, Justyna Petke:
Empirical Comparison of Search Heuristics for Genetic Improvement of Software. IEEE Trans. Evol. Comput. 25(5): 1001-1011 (2021) - [c19]Marta Smigielska, Aymeric Blot, Justyna Petke:
Uniform Edit Selection for Genetic Improvement: Empirical Analysis of Mutation Operator Efficacy. GI@ICSE 2021: 1-8 - [c18]Zhiqiang Bian, Aymeric Blot, Justyna Petke:
Refining Fitness Functions for Search-Based Program Repair. APR@ICSE 2021: 1-8 - [c17]Giovani Guizzo, Aymeric Blot, James Callan, Justyna Petke, Federica Sarro:
Refining Fitness Functions for Search-Based Automated Program Repair - A Case Study with ARJA and ARJA-e. SSBSE 2021: 159-165 - 2020
- [j3]William B. Langdon, Westley Weimer, Justyna Petke, Erik M. Fredericks, Seongmin Lee, Emily Winter, Michail Basios, Myra B. Cohen, Aymeric Blot, Markus Wagner, Bobby R. Bruce, Shin Yoo, Simos Gerasimou, Oliver Krauss, Yu Huang, Michael C. Gerten:
Genetic Improvement @ ICSE 2020. ACM SIGSOFT Softw. Eng. Notes 45(4): 24-30 (2020) - [c16]Aymeric Blot, Justyna Petke:
Comparing Genetic Programming Approaches for Non-functional Genetic Improvement. EuroGP 2020: 68-83 - [c15]Justyna Petke, Aymeric Blot:
Refining Fitness Functions in Test-Based Program Repair. ICSE (Workshops) 2020: 13-14 - [c14]Aymeric Blot, Justyna Petke:
Synthetic Benchmarks for Genetic Improvement. ICSE (Workshops) 2020: 287-288 - [c13]Aymeric Blot, Justyna Petke:
Stack-Based Genetic Improvement. ICSE (Workshops) 2020: 289-290 - [i1]William B. Langdon, Westley Weimer, Justyna Petke, Erik M. Fredericks, Seongmin Lee, Emily Winter, Michail Basios, Myra B. Cohen, Aymeric Blot, Markus Wagner, Bobby R. Bruce, Shin Yoo, Simos Gerasimou, Oliver Krauss, Yu Huang, Michael C. Gerten:
Genetic Improvement @ ICSE 2020. CoRR abs/2007.15987 (2020)
2010 – 2019
- 2019
- [j2]Aymeric Blot, Marie-Eléonore Marmion, Laetitia Jourdan, Holger H. Hoos:
Automatic Configuration of Multi-Objective Local Search Algorithms for Permutation Problems. Evol. Comput. 27(1): 147-171 (2019) - [c12]Camille Pageau, Aymeric Blot, Holger H. Hoos, Marie-Eléonore Kessaci, Laetitia Jourdan:
Configuration of a Dynamic MOLS Algorithm for Bi-objective Flowshop Scheduling. EMO 2019: 565-577 - [c11]Aymeric Blot, Justyna Petke:
On adaptive specialisation in genetic improvement. GECCO (Companion) 2019: 1703-1704 - [c10]Aymeric Blot:
Fuzzy edit sequences in genetic improvement. GI@ICSE 2019: 30-31 - [c9]Gabin An, Aymeric Blot, Justyna Petke, Shin Yoo:
PyGGI 2.0: language independent genetic improvement framework. ESEC/SIGSOFT FSE 2019: 1100-1104 - 2018
- [b1]Aymeric Blot:
Reacting and Adapting to the Environment : Designing Autonomous Methods for Multi-Objective Combinatorial Optimisation. (Réagir et s'adapter à son environnement / Réagir et s'adapter à son environnement : Concevoir des méthodes autonomes pour l'optimisation combinatoire à plusieurs objectifs). University of Lille, France, 2018 - [j1]Aymeric Blot, Marie-Eléonore Marmion, Laetitia Jourdan:
Survey and unification of local search techniques in metaheuristics for multi-objective combinatorial optimisation. J. Heuristics 24(6): 853-877 (2018) - [c8]Aymeric Blot, Holger H. Hoos, Marie-Eléonore Kessaci, Laetitia Jourdan:
Automatic Configuration of Bi-Objective Optimisation Algorithms: Impact of Correlation Between Objectives. ICTAI 2018: 571-578 - [c7]Aymeric Blot, Marie-Eléonore Kessaci, Laetitia Jourdan, Patrick De Causmaecker:
Adaptive Multi-objective Local Search Algorithms for the Permutation Flowshop Scheduling Problem. LION 2018: 241-256 - [c6]Aymeric Blot, Manuel López-Ibáñez, Marie-Eléonore Kessaci, Laetitia Jourdan:
New Initialisation Techniques for Multi-objective Local Search - Application to the Bi-objective Permutation Flowshop. PPSN (1) 2018: 323-334 - 2017
- [c5]Aymeric Blot, Alexis Pernet, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion, Holger H. Hoos:
Automatically Configuring Multi-objective Local Search Using Multi-objective Optimisation. EMO 2017: 61-76 - [c4]Aymeric Blot, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion:
Automatic design of multi-objective local search algorithms: case study on a bi-objective permutation flowshop scheduling problem. GECCO 2017: 227-234 - 2016
- [c3]Aymeric Blot, Holger H. Hoos, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion, Heike Trautmann:
MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework. LION 2016: 32-47 - 2015
- [c2]Aymeric Blot, Hernán E. Aguirre, Clarisse Dhaenens, Laetitia Jourdan, Marie-Eléonore Marmion, Kiyoshi Tanaka:
Neutral but a Winner! How Neutrality Helps Multiobjective Local Search Algorithms. EMO (1) 2015: 34-47 - 2013
- [c1]Marie-Eléonore Marmion, Aymeric Blot, Laetitia Jourdan, Clarisse Dhaenens:
Neutrality in the Graph Coloring Problem. LION 2013: 125-130
Coauthor Index
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last updated on 2024-08-16 18:34 CEST by the dblp team
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