SPRI | Multi-Objective Optimization Using Artificial Intelligence Techniques (2020 EN)

Discussion in 'Artificial intelligence' started by Kanka, Aug 4, 2019.

Tags:
0/5,
  1. Kanka

    Kanka Well-Known Member Loyal User

    Messages:
    16,047
    Likes Received:
    449
    Trophy Points:
    83
    [​IMG]

    Author: Seyedali Mirjalili, Jin Song Dong
    Full Title: Multi-Objective Optimization Using Artificial Intelligence Techniques
    Publisher: pringer; 1st ed. 2020 edition (July 24, 2019)
    Year: 2019
    ISBN-13: 9783030248352 (978-3-030-24835-2), 9783030248345 (978-3-030-24834-5)
    ISBN-10: 3030248356, 3030248348
    Pages: 58
    Language: English
    Genre: Educational: Computational Intelligence and Complexity
    File type: PDF (True)
    Quality: 10/10
    Price: 53.49 €


    This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an in-depth explanations of the theory, literature review, and applications of several widely-used algorithms, such as Multi-objective Particle Swarm Optimizer, Multi-Objective Genetic Algorithm and Multi-objective GreyWolf Optimizer Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for all the proposed algorithms on a dedicated webpage.

    -------------
     
    Last edited by a moderator: Sep 10, 2020
    Kanka, Aug 4, 2019
    #1