• Kapcsolat

  • Hírlevél

  • Rólunk

  • Szállítási lehetőségek

  • Prospero könyvpiaci podcast

  • Hírek

  • 0
    Nature-Inspired Computation in Engineering

    Nature-Inspired Computation in Engineering by Yang, Xin-She;

    Sorozatcím: Studies in Computational Intelligence; 637;

      • 20% KEDVEZMÉNY?

      • A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
      • Kiadói listaár EUR 106.99
      • Az ár azért becsült, mert a rendelés pillanatában nem lehet pontosan tudni, hogy a beérkezéskor milyen lesz a forint árfolyama az adott termék eredeti devizájához képest. Ha a forint romlana, kissé többet, ha javulna, kissé kevesebbet kell majd fizetnie.

        45 385 Ft (43 223 Ft + 5% áfa)
      • Kedvezmény(ek) 20% (cc. 9 077 Ft off)
      • Discounted price 36 307 Ft (34 578 Ft + 5% áfa)

    Beszerezhetőség

    Becsült beszerzési idő: A Prosperónál jelenleg nincsen raktáron, de a kiadónál igen. Beszerzés kb. 3-5 hét..
    A Prosperónál jelenleg nincsen raktáron.

    Why don't you give exact delivery time?

    A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.

    A termék adatai:

    • Kiadás sorszáma 1st ed. 2016
    • Kiadó Springer
    • Megjelenés dátuma 2016. március 30.
    • Kötetek száma 1 pieces, Book

    • ISBN 9783319302331
    • Kötéstípus Keménykötés
    • Terjedelem276 oldal
    • Méret 235x155 mm
    • Súly 5561 g
    • Nyelv angol
    • Illusztrációk 20 Illustrations, black & white; 34 Illustrations, color
    • 0

    Kategóriák

    Rövid leírás:

    This timely review book summarizes the
    state-of-the-art developments in nature-inspired optimization algorithms and
    their applications in engineering. Algorithms and topics include the overview
    and history of nature-inspired algorithms, discrete firefly algorithm, discrete
    cuckoo search, plant propagation algorithm, parameter-free bat algorithm,
    gravitational search, biogeography-based algorithm, differential evolution,
    particle swarm optimization and others. Applications include vehicle routing,
    swarming robots, discrete and combinatorial optimization, clustering of
    wireless sensor networks, cell formation, economic load dispatch, metamodeling,
    surrogated-assisted cooperative co-evolution, data fitting and reverse
    engineering as well as other case studies in engineering. This book will be an
    ideal reference for researchers, lecturers, graduates and engineers who are
    interested in nature-inspired computation, artificial intelligence and
    computational intelligence. It can also serveas a reference for relevant
    courses in computer science, artificial intelligence and machine learning, natural
    computation, engineering optimization and data mining.



     

    Több

    Hosszú leírás:

    This timely review book summarizes the
    state-of-the-art developments in nature-inspired optimization algorithms and
    their applications in engineering. Algorithms and topics include the overview
    and history of nature-inspired algorithms, discrete firefly algorithm, discrete
    cuckoo search, plant propagation algorithm, parameter-free bat algorithm,
    gravitational search, biogeography-based algorithm, differential evolution,
    particle swarm optimization and others. Applications include vehicle routing,
    swarming robots, discrete and combinatorial optimization, clustering of
    wireless sensor networks, cell formation, economic load dispatch, metamodeling,
    surrogated-assisted cooperative co-evolution, data fitting and reverse
    engineering as well as other case studies in engineering. This book will be an
    ideal reference for researchers, lecturers, graduates and engineers who are
    interested in nature-inspired computation, artificial intelligence and
    computational intelligence. It can also serveas a reference for relevant
    courses in computer science, artificial intelligence and machine learning, natural
    computation, engineering optimization and data mining.



     

    Több

    Tartalomjegyzék:

    Flower Pollination Algorithm and its Applications in Engineering.- An Evolutionary Discrete Firefly Algorithm with

    Novel Operators for Solving the Vehicle Routing Problem with TimeWindows.- The Plant Propagation Algorithm for Discrete Optimisation: The Case of the Travelling Salesman Problem.- Enhancing Cooperative Coevolution with Surrogate-Assisted Local Search.- Cuckoo Search: From Cuckoo Reproduction Strategy to Combinatorial
    Optimization.- Clustering Optimization for WSN based on Nature-Inspired Algorithms.- Discrete Firefly Algorithm for Recruiting Task in a Swarm of Robots.- Nature-Inspired Swarm Intelligence for Data Fitting in Reverse Engineering: Recent Advances and FutureTrends.- A Novel Fast Optimisation Algorithm Using Differential Evolution Algorithm Optimisation and Meta-
    Modelling Approach.- A Hybridization of Runner-Based and Seed-Based Plant Propagation
    Algorithm.- Gravitational Search Algorithm Applied to Cell Formation Problem.- Parameterless Bat Algorithm and its Performace Study.

    Több
    Mostanában megtekintett
    previous
    Nature-Inspired Computation in Engineering

    Nature-Inspired Computation in Engineering

    Yang, Xin-She; (ed.)

    45 385 Ft

    next