Coupling solvers with model transformations to generate explorable model sets

Autor: Fabien Chhel, Frédéric Jouault, Théo Le Calvar, Frédéric Saubion

Publikováno v: Software and Systems Modeling. 20:1633-1652

Model transformation is an effective technique to produce target models from source models. Most transformation approaches focus on generating a single target model from a given source model. However, there are situations where a collection of possib

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::231848da385be651c03016dfae9e22c2
https://doi.org/10.1007/s10270-021-00867-0

Evolution of Deterministic Hill-climbers

Autor: Vincent Hénaux, Frédéric Saubion, Adrien Goëffon

Publikováno v: 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI)
2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2020, Baltimore, France. pp.564-571, ⟨10.1109/ICTAI50040.2020.00093⟩
ICTAI

Local search algorithms consist in evolving a solution guided by a fitness function, which is usually directly derived from the objective function of the problem. Solving difficulties appear when the fitness landscape, naturally induced by the proble

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8adaf7423469286688a27fe51d5fa595
https://hal.archives-ouvertes.fr/hal-03421013

MixONat, a Software for the Dereplication of Mixtures Based on

Autor: Antoine, Bruguière, Séverine, Derbré, Joël, Dietsch, Jules, Leguy, Valentine, Rahier, Quentin, Pottier, Dimitri, Bréard, Sorphon, Suor-Cherer, Guillaume, Viault, Anne-Marie, Le Ray, Frédéric, Saubion, Pascal, Richomme

Publikováno v: Analytical chemistry. 92(13)

Whether chemists or biologists, researchers dealing with metabolomics require tools to decipher complex mixtures. As a part of metabolomics and initially dedicated to identifying bioactive natural products, dereplication aims at reducing the usual ti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::e5fdcf572110188bcf6b6a988d766a63
https://pubmed.ncbi.nlm.nih.gov/32479074

Attributes for Understanding Groups of Binary Data

Autor: Frédéric Saubion, Frédéric Lardeux, Arthur Chambon, Tristan Boureau

Publikováno v: Pattern Recognition Applications and Methods
Lecture Notes in Computer Science ISBN: 9783030400132
ICPRAM (Revised Selected Papers)

In this paper, we are interested in determining relevant attributes for multi-class discrimination of binary data. Given a set of observations described by the presence or absence of a set of attributes and divided into groups, we seek to determine a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04e38ae61aa5e7e1a945c0d6ab60328b
https://hal.univ-angers.fr/hal-02929606/document

A multi-population algorithm for multi-objective knapsack problem

Autor: Imen Ben Mansour, Matthieu Basseur, Frédéric Saubion

Publikováno v: Applied Soft Computing
Applied Soft Computing, Elsevier, 2018, 70, pp.814-825. ⟨10.1016/j.asoc.2018.06.024⟩

International audience; Local search algorithms constitute a growing area of interest to approximate the Pareto sets of multi-objective combinatorial problem instances. In this study, we focus on the multi-objective knapsack problem and its optimizat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fda60b34d094150f262dd77f4c81cf51
https://doi.org/10.1016/j.asoc.2018.06.024