Nature-Inspired Optimizers Nature-Inspired Optimizers

Nature-Inspired Optimizers

Theories, Literature Reviews and Applications

    • USD 84.99
    • USD 84.99

Descripción editorial

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.

GÉNERO
Informática e Internet
PUBLICADO
2019
1 de febrero
IDIOMA
EN
Inglés
EXTENSIÓN
254
Páginas
EDITORIAL
Springer International Publishing
VENDEDOR
Springer Nature B.V.
TAMAÑO
22.9
MB
Optimization Algorithms in Machine Learning Optimization Algorithms in Machine Learning
2025
Digital Transformation in the Construction Industry Digital Transformation in the Construction Industry
2025
Future Research Directions in Computational Intelligence Future Research Directions in Computational Intelligence
2023
Handbook of Moth-Flame Optimization Algorithm Handbook of Moth-Flame Optimization Algorithm
2022
Intelligent Systems and Applications Intelligent Systems and Applications
2022
Advances in Swarm Intelligence Advances in Swarm Intelligence
2022