Multi-Objective Optimization using Artificial Intelligence Techniques (SpringerBriefs in Applied Sciences and Technology)

Mirjalili, Seyedali; Dong, Jin Song

ISBN 10: 3030248348 / ISBN 13: 9783030248345

Edité par Springer, 2019

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N° de réf. du vendeur I-9783030248345

Détails bibliographiques

• Titre: Multi-Objective Optimization using Artificial Intelligence Techniques (SpringerBriefs in Applied Sciences and Technology)
• Éditeur: Springer
• Date de parution: 2019
• Langue: anglais
• ISBN à 10 chiffres: 3030248348
• ISBN à 13 chiffres: 9783030248345
• Reliure: Couverture souple
• État de l'article: New

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Synopsis

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.