Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Julien Lepagnot"'
Publikováno v:
ACM Journal of Experimental Algorithmics. 27:1-23
The aim of the “CG:SHOP Challenge 2019” was to generate optimal area polygonizations of a planar point set. We describe here the algorithm that won the challenge. It is a two-phase algorithm based on the node-insertion move technique, which comes
Publikováno v:
Soft Computing
Soft Computing, Springer Verlag, 2021, ⟨10.1007/s00500-021-06403-y⟩
Soft Computing, 2022, 26 (3), pp.1315-1330. ⟨10.1007/s00500-021-06403-y⟩
Soft Computing, Springer Verlag, 2021, ⟨10.1007/s00500-021-06403-y⟩
Soft Computing, 2022, 26 (3), pp.1315-1330. ⟨10.1007/s00500-021-06403-y⟩
Optimization algorithms often have several critical setting parameters and the improvement of the empirical performance of these algorithms depends on tuning them. Manually configuration of such parameters is a tedious task that results in unsatisfac
Publikováno v:
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT).
Publikováno v:
RAIRO-Operations Research
RAIRO-Operations Research, EDP Sciences, 2021, 55 (4), pp.2069-2091. ⟨10.1051/ro/2021092⟩
RAIRO-Operations Research, EDP Sciences, 2021, 55 (4), pp.2069-2091. ⟨10.1051/ro/2021092⟩
The 𝒩𝒫-hard minimum set cover problem (SCP) is a very typical model to use when attempting to formalise optimal camera placement (OCP) applications. In a generic form, the OCP problem relates to the positioning of individual cameras such that t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::678afc62f4b399d16b2b1b3a6ad7d7f6
https://hal.archives-ouvertes.fr/hal-03282241
https://hal.archives-ouvertes.fr/hal-03282241
Publikováno v:
Applied Soft Computing. 74:133-153
Given a delimited surveillance area, represented in either 2D or 3D, and a set of feasible camera locations and orientations, the optimal camera placement problem (OCP) is that of identifying camera configurations which optimise a predefined objectiv
Publikováno v:
IEEE Symposium Series on Computational Intelligence 2020
IEEE Symposium Series on Computational Intelligence 2020, Dec 2020, Canberra, Australia. ⟨10.1109/SSCI47803.2020.9308340⟩
IEEE
SSCI
IEEE Symposium Series on Computational Intelligence 2020, Dec 2020, Canberra, Australia. ⟨10.1109/SSCI47803.2020.9308340⟩
IEEE
SSCI
This paper investigates the application of a UAV path planning method to avoid collision with static and dynamic obstacles in urban environments. For this purpose, a hybrid algorithm based on differential evolution (DE) assisted by $A^{\ast}$ algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bce922c8b326fc8473d22e53d6f6d26
https://hal.science/hal-03021835
https://hal.science/hal-03021835
Autor:
Laetitia Jourdan, Mathieu Brévilliers, Julien Lepagnot, Soheila Ghambari, Lhassane Idoumghar, Mahmoud Golabi
Publikováno v:
32nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2020)
32nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2020), Nov 2020, Baltimore, United States. ⟨10.1109/ICTAI50040.2020.00027⟩
ICTAI
32nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2020), Nov 2020, Baltimore, United States. ⟨10.1109/ICTAI50040.2020.00027⟩
ICTAI
This paper considers multiobjective UAV path planning in a real 3D environment with the objective to find a safe energy-efficient path. An Enhanced Non-dominated Sorting Genetic Algorithm-II, called ENSGA-II, is proposed and combines several sorts of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0472d8df68d65edc232f1eaef7dc59ed
https://hal.archives-ouvertes.fr/hal-03021791
https://hal.archives-ouvertes.fr/hal-03021791
Autor:
Pierrick Legrand, Arnaud Liefooghe, Edward Keedwell, Julien Lepagnot, Lhassane Idoumghar, Nicolas Monmarché, Evelyne Lutton
This book constitutes the refereed post-conference proceedings of the 15th International Conference, Évolution Artificielle, EA 2022, held in Exeter, UK, during October 31–November 2, 2022.The 15 full papers were carefully reviewed and selected fr
Autor:
Lhassane Idoumghar, Jonathan Weber, Hojjat Rakhshani, Mathieu Brévilliers, Hassan Ismail Fawaz, Pierre-Alain Muller, Julien Lepagnot, Germain Forestier
Publikováno v:
IJCNN
Neural architecture search (NAS) has achieved great success in different computer vision tasks such as object detection and image recognition. Moreover, deep learning models have millions or billions of parameters and applying NAS methods when consid
Autor:
Lhassane Idoumghar, Germain Forestier, Michel Hassenforder, Mathieu Brévilliers, Hojjat Rakhshani, Bastien Latard, Julien Lepagnot, Jonathan Weber
Publikováno v:
CEC
The amount of scientific conferences and journal articles continues to increase and new approaches are required to support users in finding relevant publications. This study investigates to what extent a new machine learning (ML) pipeline may prefere