Aymeric Blot
Title
Cited by
Cited by
Year
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
382016
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
182017
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
142018
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
112017
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
92019
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
82015
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
52019
Neutrality in the graph coloring problem
ME Marmion, A Blot, L Jourdan, C Dhaenens
International Conference on Learning and Intelligent Optimization (LION …, 2013
52013
Adaptive Multi-Objective Local Search Algorithms for the Permutation Flowshop Scheduling Problem
A Blot, MÉ Kessaci, L Jourdan, P De Causmaecker
International Conference on Learning and Intelligent Optimization (LION …, 2018
22018
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
12020
Refining Fitness Functions in Test-Based Program Repair
J Petke, A Blot
Proceedings of the IEEE/ACM 42nd International Conference on Software …, 2020
12020
Stack-based genetic improvement
A Blot, J Petke
Proceedings of the IEEE/ACM 42nd International Conference on Software …, 2020
12020
Synthetic benchmarks for genetic improvement
A Blot, J Petke
Proceedings of the IEEE/ACM 42nd International Conference on Software …, 2020
12020
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
1*2020
On adaptive specialisation in genetic improvement
A Blot, J Petke
International Conference on Genetic and Evolutionary Computation (GECCO …, 2019
12019
Fuzzy Edit Sequences in Genetic Improvement
A Blot
International Workshop on Genetic Improvement (GI@ICSE), 30-31, 2019
12019
Configuration of a Dynamic MOLS Algorithm for Bi-objective Flowshop Scheduling
C Pageau, A Blot, HH Hoos, ME Kessaci, L Jourdan
International Conference on Evolutionary Multi-Criterion Optimization (EMO …, 2019
12019
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
12018
Reacting and Adapting to the Environment — Designing Autonomous Methods for Multi-Objective Combinatorial Optimisation
A Blot
Université de Lille; CRIStAL UMR 9189, 2018
12018
AMH: a new Framework to Design Adaptive Metaheuristics
A Blot, MÉ Kessaci-Marmion, L Jourdan
International Conference on Metaheuristics (MIC), 2017
12017
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