Multi-Objective Optimization using Artificial Intelligence Techniques

von Seyedali Mirjalili, Jin Song Dong

58 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: SpringerBriefs in Applied Sciences and Technology
• Themen: Informatik und Informationstechnologie Informatik Künstliche Intelligenz (KI)
• ISBN: 9783030248345
• Sprache: Englisch
• Erscheinungsdatum: 07.08.2019
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing