Neutrality in the Graph Coloring Problem. - Marie-Eléonore Marmion; Aymeric Blot; Laetitia Jourdan; Clarisse Dhaenens (LION, 2013)

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 (EMO (1), 2015)

MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework. - Aymeric Blot; Holger H. Hoos; Laetitia Jourdan; Marie-Éléonore Kessaci-Marmion; Heike Trautmann (LION, 2016)

Automatically Configuring Multi-objective Local Search Using Multi-objective Optimisation. - Aymeric Blot; Alexis Pernet; Laetitia Jourdan; Marie-Éléonore Kessaci-Marmion; Holger H. Hoos (EMO, 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 (GECCO, 2017)

Automatic Configuration of Bi-Objective Optimisation Algorithms: Impact of Correlation Between Objectives. - Aymeric Blot; Holger H. Hoos; Marie-Eléonore Kessaci; Laetitia Jourdan (ICTAI, 2018)

Adaptive Multi-objective Local Search Algorithms for the Permutation Flowshop Scheduling Problem. - Aymeric Blot; Marie-Eléonore Kessaci; Laetitia Jourdan; Patrick De Causmaecker (LION, 2018)

New Initialisation Techniques for Multi-objective Local Search - Application to the Bi-objective Permutation Flowshop. - Aymeric Blot; Manuel López-Ibáñez 001; Marie-Eléonore Kessaci; Laetitia Jourdan (PPSN (1), 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)

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 (2018)

Configuration of a Dynamic MOLS Algorithm for Bi-objective Flowshop Scheduling. - Camille Pageau; Aymeric Blot; Holger H. Hoos; Marie-Eléonore Kessaci; Laetitia Jourdan (EMO, 2019)

On adaptive specialisation in genetic improvement. - Aymeric Blot; Justyna Petke (GECCO (Companion), 2019)

Fuzzy edit sequences in genetic improvement. - Aymeric Blot (GI@ICSE, 2019)

PyGGI 2.0: language independent genetic improvement framework. - Gabin An; Aymeric Blot; Justyna Petke; Shin Yoo (ESEC/SIGSOFT FSE, 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)

Comparing Genetic Programming Approaches for Non-functional Genetic Improvement. - Aymeric Blot; Justyna Petke (EuroGP, 2020)

Synthetic Benchmarks for Genetic Improvement. - Aymeric Blot; Justyna Petke (ICSE (Workshops), 2020)

Stack-Based Genetic Improvement. - Aymeric Blot; Justyna Petke (ICSE (Workshops), 2020)

Refining Fitness Functions in Test-Based Program Repair. - Justyna Petke; Aymeric Blot (ICSE (Workshops), 2020)

Genetic Improvement @ ICSE 2020. - William B. Langdon; Westley Weimer; Justyna Petke; Erik M. Fredericks; Seongmin Lee 001; Emily Winter 001; Michail Basios; Myra B. Cohen; Aymeric Blot; Markus Wagner 007; Bobby R. Bruce; Shin Yoo; et al. (ACM SIGSOFT Softw. Eng. Notes, 2020)

Uniform Edit Selection for Genetic Improvement: Empirical Analysis of Mutation Operator Efficacy. - Marta Smigielska; Aymeric Blot; Justyna Petke (GI@ICSE, 2021)

Refining Fitness Functions for Search-Based Program Repair. - Zhiqiang Bian; Aymeric Blot; Justyna Petke (APR@ICSE, 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 (SSBSE, 2021)

Empirical Comparison of Search Heuristics for Genetic Improvement of Software. - Aymeric Blot; Justyna Petke (IEEE Trans. Evol. Comput., 2021)

Evaluation of genetic improvement tools for improvement of non-functional properties of software. - Shengjie Zuo; Aymeric Blot; Justyna Petke (GECCO Companion, 2022)

MAGPIE: Machine Automated General Performance Improvement via Evolution of Software. - Aymeric Blot; Justyna Petke (CoRR, 2022)

A Comprehensive Survey of Benchmarks for Automated Improvement of Software's Non-Functional Properties. - Aymeric Blot; Justyna Petke (CoRR, 2022)

Genetic Improvement of LLVM Intermediate Representation. - William B. Langdon; Afnan A. Al-Subaihin; Aymeric Blot; David Clark 001 (EuroGP, 2023)

Genetically Improved Software with fewer Data Cache Misses. - William B. Langdon; Justyna Petke; Aymeric Blot; David Clark 001 (GECCO Companion, 2023)

GI Software with fewer Data Cache Misses. - William B. Langdon; Justyna Petke; Aymeric Blot; David Clark 001 (CoRR, 2023)

Genetic Improvement @ ICSE 2023. - William B. Langdon; Vesna Nowack; Justyna Petke; Markus Wagner 007; Hyeonseok Lee; Erik M. Fredericks; Gabin An; Aymeric Blot (ACM SIGSOFT Softw. Eng. Notes, 2023)

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, 2024)

Empirical Comparison of Runtime Improvement Approaches: Genetic Improvement, Parameter Tuning, and Their Combination. - Thanatad Songpetchmongkol; Aymeric Blot; Justyna Petke (GI@ICSE, 2025)

A Comprehensive Survey of Benchmarks for Improvement of Software's Non-Functional Properties. - Aymeric Blot; Justyna Petke (ACM Comput. Surv., 2025)

The 14th International Workshop on Genetic Improvement(GI @ ICSE 2025). - William B. Langdon; Aymeric Blot; Oliver Krauss (ACM SIGSOFT Softw. Eng. Notes, 2025)

Reinforcement learning for mutation operator selection in automated program repair. - Carol Hanna; Aymeric Blot; Justyna Petke (Autom. Softw. Eng., 2025)