Nature-inspired optimization in advanced manufacturing processes and systems. (2020)

• Record Type: Book
• Further Information: Note: Edited by Ganesh M. Kakandikar, Dinesh G. Thakur.
• Editors: Kakandikar, Ganesh M; Thakur, Dinesh G
• Contents: Chapter 1 Investigations on Process Parameters of EN-08 Steel by Using DoE and Multi Objective Genetic Algorithm Approach Syed Anjum Alam, Ashish Goyal, Manish Dadhich Chapter 2 Multi Objective Optimization for Improving Performance characteristic of Novel Curved EDM Process using Jaya Algorithm Diwesh B. Meshram, Yogesh M. Puri and Neelesh Kumar Sahu Chapter 3 Artificial neural networks (ANNs) for prediction and optimization in friction stir welding process: An overview and future trends Mukuna Patrick Mubiayi and Veeredhi Vasudeva Rao Chapter 4 Energy Efficient Cluster Head Selection for Manufacturing Process Using Modified Honey Bee Mating Optimization in Wireless Sensor Networks Pramod D Ganjewar, Barani S., Sanjeev J. Wagh Chapter 5 Multiobjective design optimization of Power Take off gear box through Non-Dominated Sorting Genetic Algorithm - II R. Saravanan, G. Chandrasekaran and V. S. Sree Balaji Chapter 6 Improving the performance of machining processes using Opposition based learning civilized swarm optimization Chapter 7 Application of particle swarm optimization method for availability optimization of thermal power plant Hanumant P. Jagtap, Anand K. Bewoor, Firozkhan Pathan, Ravinder Kumar Chapter 8 Optimization of Incremental Sheet Forming Process using Artificial Intelligence Based Techniques Ajay Kumar, Deepak Kumar, Parveen Kumar, Vikas Dhawan Chapter 9 Development of non-dominated genetic algorithm interface for parameter optimization of selected electrochemical based machining processes D. Singh and R. S. Shukla Chapter 10 Ann Modelling of Surface Roughness and Thrust Force During Drilling of Sic Filler Incorporated Glass/Epoxy Composites Ajith G. Joshi, M. Manjaiah, R. Suresh, Mahesh B. Davangere Chapter 11 Multi-Objective Optimization of Laser-assisted Micro-hole Drilling with Evolutionary Algorithms Hrudaya Jyoti Biswal, V Pandu Ranga, Ankur Gupta Chapter 12 Modelling and Pareto Optimization of Burnishing Process for Surface Roughness and Microhardness Vijay Kurkute and Sandip Chavan Chapter 13 Selection of Components and its Optimum Manufacturing Tolerance for Selective Assembly Technique using Intelligent Water Drops Algorithm to Minimize Manufacturing Cost M. Siva Kumar, N. Lenin and D. Rajamani Chapter 14 Enhancing the surface roughness characteristics of selective inhibition sintered HDPE parts: An integrated approach of RSM and krill herd algorithm D. Rajamani*, E. Balasubramanian and M. Sivakumar Chapter 15 Optimization of Abrasive Water Jet Machining Parameters of Al/Tic Using Response Surface Methodology and Modified Artificial Bee Colony Algorithm K. Kiran, K. Ravi Kumar and K. Chandrasekar
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2020
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 670.2856382; Industrial engineering -- Data processing; Natural computation -- Industrial applications
• Languages: English
• ISBNs: 9781000258462; 9781000258387; 9781000258424; 9781003081166
• Related ISBNs: 9780367532604
• Notes: Note: Description based on CIP data; resource not viewed.
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• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.