Metaheuristic Algorithms in Industry 4.0

Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes.

Info autore

Pritesh Shah is an Associate Professor at the Symbiosis Institute of Technology, Symbiosis International (Deemed University), India.
Ravi Sekhar is an Assistant Professor at the Symbiosis Institute of Technology, Symbiosis International (Deemed University), India.
Anand J. Kulkarni is an Associate Professor at the Symbiosis Center for Research and Innovation, Symbiosis International (Deemed University), India.
Patrick Siarry is a Professor of Automatics and Informatics at the University of Paris-Est Creteil, where he leads the Image and Signal Processing team in the Laboratoire Images, Signaux et Systemes Intelligents (LiSSi).

Riassunto

Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes.

Dettagli sul prodotto

• Con la collaborazione di: Pritesh Shah (Editore), Ravi Sekhar (Editore), Anand J. Kulkarni (Editore), Patrick Siarry (Editore), Siarry Patrick (Editore)
• Autori: Pritesh Sekhar Shah
• Editore: Taylor & Francis Ltd.
• Contenuto: Libro
• Forma del prodotto: Tascabile
• Data pubblicazione: 07.10.2024
• Categoria: Scienze naturali, medicina, informatica, tecnica > Tecnica > Termotecnica, tecnica energetica ed elettrica
• EAN: 9780367698409
• ISBN: 978-0-367-69840-9
• Numero di pagine: 286
• Serie: Advances in Metaheuristics
• Categorie: machine learning, Optimization, Robotics, MATHEMATICS / Optimization, Predictive Maintenance, TECHNOLOGY & ENGINEERING / Robotics, COMPUTERS / Machine Theory, Mathematical theory of computation, COMPUTERS / Data Science / Machine Learning, COMPUTERS / Data Science / Neural Networks, Neural networks and fuzzy systems, Neural networks & fuzzy systems, Industrial Automation, Smart Manufacturing Systems, Fuzzy Logic Control, sensor network integration, neural network optimisation, advanced optimisation for manufacturing processes