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 Grey Wolf 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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Langue Anglais ● Format PDF ● Pages 58 ● ISBN 9783030248352 ● Taille du fichier 4.9 MB ● Maison d’édition Springer International Publishing ● Lieu Cham ● Pays CH ● Publié 2019 ● Téléchargeable 24 mois ● Devise EUR ● ID 7094270 ● Protection contre la copie DRM sociale
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