Multi-Objective Optimization using Artificial Intelligence Techniques 1st ed. 2020 Edition

Multi-Objective Optimization using Artificial Intelligence Techniques 1st ed. 2020 Edition book cover

Multi-Objective Optimization using Artificial Intelligence Techniques 1st ed. 2020 Edition

Author(s): Seyedali Mirjalili (Author), Jin Song Dong (Author)

  • Publisher: Springer
  • Publication Date: 7 Aug. 2019
  • Edition: 1st ed. 2020
  • Language: English
  • Print length: 69 pages
  • ISBN-10: 3030248348
  • ISBN-13: 9783030248345

Book Description

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.

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