Algorithme de Recherche
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Home > Art, Film & Photography > Algorithme de Recherche: Metaheuristique, Algorithme de Dijkstra, Algorithme de Colonies de Fourmis, Algorithme Genetique, Arbre de Decision
Algorithme de Recherche: Metaheuristique, Algorithme de Dijkstra, Algorithme de Colonies de Fourmis, Algorithme Genetique, Arbre de Decision

Algorithme de Recherche: Metaheuristique, Algorithme de Dijkstra, Algorithme de Colonies de Fourmis, Algorithme Genetique, Arbre de Decision


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About the Book

Ce contenu est une compilation d'articles de l'encyclopedie libre Wikipedia. Pages: 48. Non illustre. Chapitres: Metaheuristique, Algorithme de Dijkstra, Algorithme de colonies de fourmis, Algorithme genetique, Arbre de decision, Algorithme de Grover, Algorithme evolutionniste, Algorithme a estimation de distribution, Theorie de jauge sur reseau, Recuit simule, Algorithme A*, Strategie d'evolution, Aide au diagnostic medical, Systeme immunitaire artificiel, Algorithme d'Aho-Corasick, Recherche de chemin, Recherche locale, Algorithme forward-backward, Algorithme de parcours en profondeur, Algorithme de Ford-Bellman, Algorithme de Dantzig-Ford, Algorithme de parcours en largeur, Greedy randomized adaptive search procedure, Algorithme a evolution differentielle, Optimisation par essaims particulaires, Recherche tabou, James Kennedy, Algorithme de Dieu, Algorithme APriori, Espace de recherche. Extrait: Une metaheuristique est un algorithme d optimisation visant a resoudre des problemes d optimisation difficile (souvent issus des domaines de la recherche operationnelle, de l'ingenierie ou de l'intelligence artificielle) pour lesquels on ne connait pas de methode classique plus efficace. Les metaheuristiques sont generalement des algorithmes stochastiques iteratifs, qui progressent vers un optimum global, c'est-a-dire l'extremum global d'une fonction, par echantillonnage d une fonction objectif. Elles se comportent comme des algorithmes de recherche, tentant d apprendre les caracteristiques d un probleme afin d en trouver une approximation de la meilleure solution (d'une maniere proche des algorithmes d'approximation). Il existe un grand nombre de metaheuristiques differentes, allant de la simple recherche locale a des algorithmes complexes de recherche globale. Ces methodes utilisent cependant un haut niveau d abstraction, leur permettant d etre adaptees a une large gamme de problemes differents. Les...


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Product Details
  • ISBN-13: 9781159626631
  • Publisher: Books LLC, Wiki Series
  • Publisher Imprint: Books LLC, Wiki Series
  • Height: 246 mm
  • No of Pages: 50
  • Spine Width: 3 mm
  • Weight: 109 gr
  • ISBN-10: 1159626634
  • Publisher Date: 12 Oct 2012
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: Metaheuristique, Algorithme de Dijkstra, Algorithme de Colonies de Fourmis, Algorithme Genetique, Arbre de Decision
  • Width: 189 mm


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