Home » Metaheuristic Algorithms in Industry 4.0
Product Image

Metaheuristic Algorithms in Industry 4.0

€127.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
advanced optimisation for manufacturing processes
Age Group_Uncategorized
Age Group_Uncategorized
ANFIS
automatic-update
B01=Anand J. Kulkarni
B01=Patrick Siarry
B01=Pritesh Shah
B01=Ravi Sekhar
BLDC Motor
BLDC Motor Drive
Category1=Non-Fiction
Category=PBT
Category=PBU
Category=TJFM1
Category=UYQ
Category=UYQN
Convolution Layers
COP=United Kingdom
CS
CS Algorithm
Cyber Physical Systems
Delivery_Pre-order
Dental Implants
EDM
EDM Machine
EDM Process Parameter
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Fa
Fractional Order Pid
fuzzy logic control
industrial automation
Language_English
Metaheuristic Scheme
neural network optimisation
Neuro Fuzzy Inference
NiTi Alloy
NiTi Shape Memory Alloys
PA=Temporarily unavailable
PID Controller
predictive maintenance
Price_€100 and above
PS=Active
PSO Algorithm
Robot Path Planning
Salp Swarm Algorithm
Semi-Empirical Modeling
sensor network integration
Sensorless Speed Control
smart manufacturing systems
softlaunch
Time Domain Characteristics
Topology Optimization
Triangular MFs
WEDM Process
Wire EDM Machine
WLT

Product details

  • ISBN 9780367698393
  • Weight: 720g
  • Dimensions: 174 x 246mm
  • Publication Date: 29 Sep 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
Secure checkout Fast Shipping Easy returns
Description

Due to increasing industry 4.0 practices, massive industrial process data is now available for researchers for modelling and optimization. Artificial Intelligence methods can be applied to the ever-increasing process data to achieve robust control against foreseen and unforeseen system fluctuations. Smart computing techniques, machine learning, deep learning, computer vision, for example, will be inseparable from the highly automated factories of tomorrow. Effective cybersecurity will be a must for all Internet of Things (IoT) enabled work and office spaces.

This book addresses metaheuristics in all aspects of Industry 4.0. It covers metaheuristic applications in IoT, cyber physical systems, control systems, smart computing, artificial intelligence, sensor networks, robotics, cybersecurity, smart factory, predictive analytics and more.

Key features:

  • Includes industrial case studies.
  • Includes chapters on cyber physical systems, machine learning, deep learning, cybersecurity, robotics, smart manufacturing and predictive analytics.
  • surveys current trends and challenges in metaheuristics and 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.
About

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).