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Frédéric Lardeux
Researcher at University of Angers
Publications - 104
Citations - 1668
Frédéric Lardeux is an academic researcher from University of Angers. The author has contributed to research in topics: Local search (optimization) & Evolutionary algorithm. The author has an hindex of 22, co-authored 100 publications receiving 1492 citations. Previous affiliations of Frédéric Lardeux include Institut Français & Rafael Advanced Defense Systems.
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Journal ArticleDOI
A «Repertoire for Repertoire» Hypothesis: Repertoires of Type Three Effectors are Candidate Determinants of Host Specificity in Xanthomonas
Ahmed Hajri,Chrystelle Brin,Gilles Hunault,Frédéric Lardeux,Christophe Lemaire,Charles Manceau,Tristan Boureau,Stéphane Poussier +7 more
TL;DR: This study showed that many pathovars of Xanthomonas axonopodis are polyphyletic, and revealed that T3E repertoires comprise core and variable gene suites that likely have distinct roles in pathogenicity and different evolutionary histories, supporting a “repertoire for repertoire” hypothesis that may explain host specificity.
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Insecticide resistance of Triatoma infestans (Hemiptera, Reduviidae) vector of Chagas disease in Bolivia.
TL;DR: The objective is to define the insecticide resistance status of Triatoma infestans to deltamethrin (pyrethroid), malathion (organophosphate) and bendiocarb (carbamate) in Bolivia.
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Autonomous operator management for evolutionary algorithms
TL;DR: A new technique to dynamically control the behavior of operators in an EA and to manage a large set of potential operators to ensure that the best operators are rewarded by applying them more often.
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Dosage-dependent effects of permethrin-treated nets on the behaviour of Anopheles gambiae and the selection of pyrethroid resistance.
Vincent Corbel,Fabrice Chandre,Cécile Brengues,Martin Akogbeto,Frédéric Lardeux,Jean Marc Hougard,Pierre Guillet +6 more
TL;DR: This study showed that nets treated with high permethrin concentrations provided better blood feeding prevention against pyrethroid-resistant An.
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GASAT: a genetic local search algorithm for the satisfiability problem
TL;DR: These experiments show that GASAT provides very competitive results, and its overall performance with state-of-the-art SAT algorithms is compared.