Aymeric Blot

According to our database, Aymeric Blot authored at least 33 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The 13th International Workshop on Genetic Improvement(GI @ ICSE 2024).

William B. Langdon, Gabin An, Aymeric Blot, Vesna Nowack, Justyna Petke, Shin Yoo, Oliver Krauss, Erik M. Fredericks, Daniel Blackwell

ACM SIGSOFT Softw. Eng. Notes, July, 2024

2023

Genetic Improvement @ ICSE 2023.

William B. Langdon, Vesna Nowack, Justyna Petke, Markus Wagner, Hyeonseok Lee, Erik M. Fredericks, Gabin An, Aymeric Blot

ACM SIGSOFT Softw. Eng. Notes, October, 2023

Reinforcement Learning for Mutation Operator Selection in Automated Program Repair.

Carol Hanna, Aymeric Blot, Justyna Petke

CoRR, 2023

GI Software with fewer Data Cache Misses.

William B. Langdon, Justyna Petke, Aymeric Blot, David Clark

CoRR, 2023

Genetically Improved Software with fewer Data Cache Misses.

William B. Langdon, Justyna Petke, Aymeric Blot, David Clark

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Genetic Improvement of LLVM Intermediate Representation.

William B. Langdon, Afnan A. Al-Subaihin, Aymeric Blot, David Clark

Proceedings of the Genetic Programming - 26th European Conference, 2023

2022

A Comprehensive Survey of Benchmarks for Automated Improvement of Software's Non-Functional Properties.

Aymeric Blot, Justyna Petke

CoRR, 2022

MAGPIE: Machine Automated General Performance Improvement via Evolution of Software.

Aymeric Blot, Justyna Petke

CoRR, 2022

Evaluation of genetic improvement tools for improvement of non-functional properties of software.

Shengjie Zuo, Aymeric Blot, Justyna Petke

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

Empirical Comparison of Search Heuristics for Genetic Improvement of Software.

Aymeric Blot, Justyna Petke

IEEE Trans. Evol. Comput., 2021

Refining Fitness Functions for Search-Based Automated Program Repair - A Case Study with ARJA and ARJA-e.

Giovani Guizzo, Aymeric Blot, James Callan, Justyna Petke, Federica Sarro

Proceedings of the Search-Based Software Engineering - 13th International Symposium, 2021

Refining Fitness Functions for Search-Based Program Repair.

Zhiqiang Bian, Aymeric Blot, Justyna Petke

Proceedings of the 2nd IEEE/ACM International Workshop on Automated Program Repair, 2021

Uniform Edit Selection for Genetic Improvement: Empirical Analysis of Mutation Operator Efficacy.

Marta Smigielska, Aymeric Blot, Justyna Petke

Proceedings of the 10th IEEE/ACM International Workshop on Genetic Improvement, 2021

2020

Genetic Improvement @ ICSE 2020.

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

ACM SIGSOFT Softw. Eng. Notes, 2020

Refining Fitness Functions in Test-Based Program Repair.

Justyna Petke, Aymeric Blot

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

Stack-Based Genetic Improvement.

Aymeric Blot, Justyna Petke

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

Synthetic Benchmarks for Genetic Improvement.

Aymeric Blot, Justyna Petke

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

Comparing Genetic Programming Approaches for Non-functional Genetic Improvement.

Aymeric Blot, Justyna Petke

Proceedings of the Genetic Programming - 23rd European Conference, 2020

2019

Automatic Configuration of Multi-Objective Local Search Algorithms for Permutation Problems.

Aymeric Blot, Marie-Eléonore Marmion, Laetitia Jourdan, Holger H. Hoos

Evol. Comput., 2019

PyGGI 2.0: language independent genetic improvement framework.

Gabin An, Aymeric Blot, Justyna Petke, Shin Yoo

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Fuzzy edit sequences in genetic improvement.

Aymeric Blot

Proceedings of the 6th International Workshop on Genetic Improvement, 2019

On adaptive specialisation in genetic improvement.

Aymeric Blot, Justyna Petke

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Configuration of a Dynamic MOLS Algorithm for Bi-objective Flowshop Scheduling.

Camille Pageau, Aymeric Blot, Holger H. Hoos, Marie-Eléonore Kessaci, Laetitia Jourdan

Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2018

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).

Aymeric Blot

PhD thesis, 2018

Survey and unification of local search techniques in metaheuristics for multi-objective combinatorial optimisation.

Aymeric Blot, Marie-Eléonore Marmion, Laetitia Jourdan

J. Heuristics, 2018

New Initialisation Techniques for Multi-objective Local Search - Application to the Bi-objective Permutation Flowshop.

Aymeric Blot, Manuel López-Ibáñez, Marie-Eléonore Kessaci, Laetitia Jourdan

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Adaptive Multi-objective Local Search Algorithms for the Permutation Flowshop Scheduling Problem.

Aymeric Blot, Marie-Eléonore Kessaci, Laetitia Jourdan, Patrick De Causmaecker

Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018

Automatic Configuration of Bi-Objective Optimisation Algorithms: Impact of Correlation Between Objectives.

Aymeric Blot, Holger H. Hoos, Marie-Eléonore Kessaci, Laetitia Jourdan

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

2017

Automatic design of multi-objective local search algorithms: case study on a bi-objective permutation flowshop scheduling problem.

Aymeric Blot, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Automatically Configuring Multi-objective Local Search Using Multi-objective Optimisation.

Aymeric Blot, Alexis Pernet, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion, Holger H. Hoos

Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016

MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework.

Aymeric Blot, Holger H. Hoos, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion, Heike Trautmann

Proceedings of the Learning and Intelligent Optimization - 10th International Conference, 2016

2015

Neutral but a Winner! How Neutrality Helps Multiobjective Local Search Algorithms.

Aymeric Blot, Hernán E. Aguirre, Clarisse Dhaenens, Laetitia Jourdan, Marie-Eléonore Marmion, Kiyoshi Tanaka

Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

2013

Neutrality in the Graph Coloring Problem.

Marie-Eléonore Marmion, Aymeric Blot, Laetitia Jourdan, Clarisse Dhaenens

Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013