Personnaliser

OK

Introduction to Evolutionary Algorithms - Gen, Mitsuo

Note : 0

0 avis
  • Soyez le premier à donner un avis

Vous en avez un à vendre ?

Vendez-le-vôtre

93,68 €

Occasion · Très Bon État

  • Ou 23,42 € /mois

  • -10 € avec le code RAKUTEN10
    4,68 € offerts
    • Livraison : 25,00 €
    • Livré entre le 5 et le 11 mai
    Voir les modes de livraison

    Kelindo

    PRO Vendeur favori

    4,8/5 sur + de 1 000 ventes

    Apres acceptation de la commande, le delai moyen d'expedition depuis le Japon est de 48 heures. Le delai moyen de livraison est de 3 a 4 semaines. En cas de circonstances exceptionnelles, les delais peuvent s'etendre jusqu'à 2 mois.

    Publicité
     
    Vous avez choisi le retrait chez le vendeur à
    • Payez directement sur Rakuten (CB, PayPal, 4xCB...)
    • Récupérez le produit directement chez le vendeur
    • Rakuten vous rembourse en cas de problème

    Gratuit et sans engagement

    Félicitations !

    Nous sommes heureux de vous compter parmi nos membres du Club Rakuten !

    En savoir plus

    Retour

    Horaires

        Note :


        Avis sur Introduction To Evolutionary Algorithms Format Broché  - Livre Littérature Générale

        Note : 0 0 avis sur Introduction To Evolutionary Algorithms Format Broché  - Livre Littérature Générale

        Les avis publiés font l'objet d'un contrôle automatisé de Rakuten.


        Présentation Introduction To Evolutionary Algorithms Format Broché

         - Livre Littérature Générale

        Livre Littérature Générale - Gen, Mitsuo - 01/09/2012 - Broché - Langue : Anglais

        . .

      • Auteur(s) : Gen, Mitsuo - Yu, Xinjie
      • Editeur : Springer-Verlag London Ltd.
      • Langue : Anglais
      • Parution : 01/09/2012
      • Format : Moyen, de 350g à 1kg
      • Nombre de pages : 436
      • Expédition : 657
      • Dimensions : 23.5 x 15.5 x 2.4
      • ISBN : 144712569X



      • Résumé :
        Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms. It covers such hot topics as: ? genetic algorithms, ? differential evolution, ? swarm intelligence, and ? artificial immune systems. The reader is introduced to a range of applications, as Introduction to Evolutionary Algorithms demonstrates how to model real world problems, how to encode and decode individuals, and how to design effective search operators according to the chromosome structures with examples of constraint optimization, multiobjective optimization, combinatorial optimization, and supervised/unsupervised learning. This emphasis on practical applications will benefit all students, whether they choose to continue their academic career or to enter a particular industry. Introduction to Evolutionary Algorithms is intended as a textbook or self-study material for both advanced undergraduates and graduate students. Additional features such as recommended further reading and ideas for research projects combine to form an accessible and interesting pedagogical approach to this widely used discipline.

        Biographie:
        a role he has held ever since. He was a visiting scholar at the Massachusetts Institute of Technology in 2003 and at the Graduate School of Information, Production and Systems of Waseda University in 2008 and 2009 separately. Dr Yu's research interests include evolutionary computation (especially genetic algorithms, evolution strategy, multimodal optimization, and multiobjective optimization) and its applications in various aspects of electrical engineering, power electronics, wireless energy transferring, etc. Mitsuo Gen is a visiting scientist at the Fuzzy Logic Systems Institute (FLSI), Iizuka, Japan, which he joined in August 2009 after retiring from his position as a professor in the Graduate School of Information, Production and Systems, Waseda University...

        Sommaire:
        Xinjie Yu is an associate professor of the department of electrical engineering at Tsinghua University. He received his PhD in Electrical Engineering from Tsinghua University in 2001. Then he served as a lecturer at Tsinghua University until 2005 and was promoted to the position of associate professor...

        Détails de conformité du produit

        Consulter les détails de conformité de ce produit (

        Personne responsable dans l'UE

        )
        Le choixNeuf et occasion
        Minimum5% remboursés
        La sécuritéSatisfait ou remboursé
        Le service clientsÀ votre écoute
        LinkedinFacebookTwitterInstagramYoutubePinterestTiktok
        visavisa
        mastercardmastercard
        klarnaklarna
        paypalpaypal
        floafloa
        americanexpressamericanexpress
        Rakuten Logo
        • Rakuten Kobo
        • Rakuten TV
        • Rakuten Viber
        • Rakuten Viki
        • Plus de services
        • À propos de Rakuten
        Rakuten.com