Bokus

Gustavo Mendes Platt – författare

Visar alla böcker från författaren Gustavo Mendes Platt. Handla med fri frakt och snabb leverans.

3 produkter

  1. Gustavo Mendes Platt, Xin-She Yang, Antônio José Silva Neto - Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering, Häftad. Tillgänglighet: Lägg i varukorg

    Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering

    Av Gustavo Mendes Platt, Xin-She Yang m. fl.

    Häftad, 2019

    1094 kr

    Lägg i varukorg

    This book focuses on metaheuristic methods and its applications to real-world problems in Engineering. The first part describes some key metaheuristic methods, such as Bat Algorithms, Particle Swarm Optimization, Differential Evolution, and Particle Collision Algorithms. Improved versions of these …

  2. Gustavo Mendes Platt, Xin-She Yang, Antônio José Silva Neto - Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering, Inbunden. Tillgänglighet: Lägg i varukorg

    Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering

    Av Gustavo Mendes Platt, Xin-She Yang m. fl.

    Inbunden, 2018

    1094 kr

    Lägg i varukorg

    This book focuses on metaheuristic methods and its applications to real-world problems in Engineering. The first part describes some key metaheuristic methods, such as Bat Algorithms, Particle Swarm Optimization, Differential Evolution, and Particle Collision Algorithms. Improved versions of these …

  3. Antonio Jose Silva Neto, Xin-She Yang, Gustavo Mendes Platt - Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering, E-bok. Tillgänglighet: Lägg i varukorg

    Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering

    Av Antonio Jose Silva Neto, Xin-She Yang m. fl.

    E-bok, 2018

    1459 kr

    Lägg i varukorg

    This book focuses on metaheuristic methods and its applications to real-world problems in Engineering. The first part describes some key metaheuristic methods, such as Bat Algorithms, Particle Swarm Optimization, Differential Evolution, and Particle Collision Algorithms. Improved versions of these …