Metaheuristic Algorithms in Industry 4.0
Metaheuristic Algorithms in Industry 4.0 by Pritesh Shah, published by CRC Press, Taylor & Francis Group on October 7, 2024, spans 286 pages and is presented in English. This book offers a comprehensive examination of various optimization techniques and algorithms relevant to Industry 4.0, focusing on the intersection of cyber-physical systems and smart computing. It includes a range of studies that analyze and apply metaheuristic algorithms to solve complex problems in diverse fields, such as robotics, medical imaging, and manufacturing processes.
Readers will find detailed discussions on topics including design optimization, secure control of cyber-physical systems, and the application of advanced algorithms like the Salp swarm algorithm and JAYA optimization. The book also explores the use of convolutional neural networks in industrial applications and provides insights into predictive analysis in cellular networks. This edition serves as a valuable resource for those interested in the integration of technology and engineering with data science and optimization methodologies.
Official synopsis Publisher
A review on cyber physical systems and smart computing : bibliometric analysis / Deepak Sharma, Prashant K. Gupta, Javier Andreu-Perez — Design optimization of close-fitting free-standing acoustic enclosure using Jaya algorithm / Ashish Khachane and Vijaykumar Jatti — A metaheuristic scheme for secure control of cyber-physical systems / Tua Tamba — Application of Salp swarm algorithm to solve constrained optimization problems with dynamic penalty approach in real life problems / Omkar Kulkarni, G.M. Kakandikar, V.M. Nandedkar — Optimization of robot path planning using advanced optimization techniques / R.V. Rao, S. Patel — Semi-empirical modeling and JAYA optimization of white layer thickness during electrical discharge machining of NiTi alloy / Mahendra Uttam Gaikwad, Krishnamoorthy A, Vijaykumar S Jatti — Analysis of convolutional neural network architectures and their applications in industry 4.0 / Gaurav Bansod, Shardul Khandekar, Soumya Khurana — EMD based triaging of pulmonary diseases using chest radiographs (X-Rays) / Niranjan Chavan, Priya Ranjan, Uday Kumar, Kumar Dron Shrivastav and Rajiv Janardhanan — Adaptive neuro fuzzy inference system to predict material removal rate during cryo-treated electric discharge machining / Vaibhav S. Gaikwad, Vijaykumar S. Jatti, Satish S. Chinchanikar, Keshav N. Nandurkar — A metaheuristic optimization algorithm based speed controller for brushless DC motor : industrial case studies / K.Vanchinathan, P. Sathiskumar and N. Selvaganesan — Predictive analysis of cellular networks : a survey / Nilakshee Rajule, Radhika Menon, Anju Kulkarni — Optimization techniques and algorithms for dental implants : a comprehensive review / Niharika Karnika, Pankaj Dhatraka.
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