Socio-Inspired Optimization Methods for Advanced Manufacturing Processes

de

, ,

Éditeur :

Springer


Collection :

Springer Series in Advanced Manufacturing

Paru le : 2020-08-11

eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
94,94

Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description

This book discusses comprehensively the advanced manufacturing processes, including illustrative examples of the processes, mathematical modeling, and the need to optimize associated parameter problems. In addition, it describes in detail the cohort intelligence methodology and its variants along with illustrations, to help readers gain a better understanding of the framework. The theoretical and statistical rigor is validated by comparing the solutions with evolutionary algorithms, simulation annealing, response surface methodology, the firefly algorithm, and experimental work. Lastly, the book critically reviews several socio-inspired optimization methods. 
Pages
128 pages
Collection
Springer Series in Advanced Manufacturing
Parution
2020-08-11
Marque
Springer
EAN papier
9789811577963
EAN PDF
9789811577970

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
12
Taille du fichier
5724 Ko
Prix
94,94 €
EAN EPUB
9789811577970

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
12
Taille du fichier
14623 Ko
Prix
94,94 €