Campagne de collecte 15 septembre 2024 – 1 octobre 2024 C'est quoi, la collecte de fonds?

Nature-Inspired Optimizers: Theories, Literature Reviews...

Nature-Inspired Optimizers: Theories, Literature Reviews and Applications

Seyedali Mirjalili, Jin Song Dong, Andrew Lewis
0 / 5.0
0 comments
Avez-vous aimé ce livre?
Quelle est la qualité du fichier téléchargé?
Veuillez télécharger le livre pour apprécier sa qualité
Quelle est la qualité des fichiers téléchargés?

This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage.

Catégories:
Année:
2020
Edition:
1st ed.
Editeur::
Springer International Publishing
Langue:
english
ISBN 10:
3030121275
ISBN 13:
9783030121273
Collection:
Studies in Computational Intelligence 811
Fichier:
PDF, 12.72 MB
IPFS:
CID , CID Blake2b
english, 2020
Ce livre ne peut être téléchargé en raison d'une plainte du titulaire d'un droit

Beware of he who would deny you access to information, for in his heart he dreams himself your master

Pravin Lal

Mots Clefs