Variable Neighborhood Search with Cost Function Networks to Solve Large Computational Protein Design Problems - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Conference Poster Year : 2018

Variable Neighborhood Search with Cost Function Networks to Solve Large Computational Protein Design Problems

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hal-02733727 , version 1 (02-06-2020)

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  • HAL Id : hal-02733727 , version 1
  • PRODINRA : 471260

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David Allouche, Antoine Charpentier, Thomas Schiex, Thomas Simonson. Variable Neighborhood Search with Cost Function Networks to Solve Large Computational Protein Design Problems: we explored various mutator for improving VNS robustness for the protein design . But the method is generic and can be used very likely in various context of molecular modelling if energy table can be precomputed. Rencontre des Chimistes Théoriciens Francophones, Oct 2018, Toulouse, France. 2018. ⟨hal-02733727⟩
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