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Metaheuristic Algorithms in Industry 4.0

Metaheuristic Algorithms in Industry 4.0

Interesting Research Book in Metaheuristic Algorithms in Industry 4.0

Author(s) Name:  Pritesh Shah, Ravi Sekhar, Anand J. Kulkarni, Patrick Siarry

About the Book:

   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.
   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.

Table of Contents

  • A Review on Cyber Physical Systems and Smart Computing: Bibliometric Analysis
  • Design Optimization of Close-Fitting Free-Standing Acoustic Enclosure Using Jaya Algorithm
  • A Metaheuristic Scheme for Secure Control of Cyber-Physical Systems
  • Application of Salp Swarm Algorithm to Solve Constrained Optimization Problems with Dynamic Penalty Approach in Real-Life Problems
  • Optimization of Robot Path Planning Using Advanced Optimization Techniques
  • Semi-Empirical Modeling and Jaya Optimization of White Layer Thickness during Electrical Discharge Machining of NiTi Alloy
  • Analysis of Convolution Neural Network Architectures and Their Applications in Industry 4.0
  • EMD-Based Triaging of Pulmonary Diseases Using Chest Radiographs (X-Rays)
  • Adaptive Neuro Fuzzy Inference System to Predict Material Removal Rate during Cryo-Treated Electric Discharge Machining
  • A Metaheuristic Optimization Algorithm-Based Speed Controller for Brushless DC Motor: Industrial Case Study
  • Predictive Analysis of Cellular Networks: A Survey
  • Optimization Techniques and Algorithms for Dental Implants – A Comprehensive Review
  • ISBN:  9781003143505

    Publisher:  Taylor & Francis Group

    Year of Publication:  2021

    Book Link:  Home Page Url