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Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials

Edited by Deepak Sinwar, Edited by Kamalakanta Muduli, Edited by Vijaypal Singh Dhaka, Edited by Vijander Singh

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normal price: R 5 658.95

Price: R 5 375.95


| book description |

The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for reliability engineering. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, computer engineering, and materials science. Discusses the development of sustainable materials using metaheuristic approaches. Covers computational models such as agent-based models, ontology, and decision field theory for reliability engineering. Presents swarm intelligence methods such as ant colony optimization, particle swarm optimization, and grey wolf optimization for solving the manufacturing process. Include case studies for industrial optimizations. Explores the use of computational optimization for reliability and maintainability theory. The text covers swarm intelligence techniques including ant colony optimization, particle swarm optimization, cuckoo search, and genetic algorithms for solving complex industrial problems of the manufacturing industry as well as predicting reliability, maintainability, and availability of several industrial components.

| product details |



Normally shipped | This title will be printed on demand for your order. Delivery will be 6 weeks or less.
Publisher | Taylor & Francis Ltd
Published date | 25 Sep 2023
Language |
Format | Hardback
Pages | 196
Dimensions | 234 x 156 x 0mm (L x W x H)
Weight | 417g
ISBN | 978-1-0321-9104-1
Readership Age |
BISAC | technology / engineering / industrial


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Normally shipped | Available from overseas. Usually dispatched in 14 days
Readership Age |
Normal Price | R 6 596.95
Price | R 6 266.95 | on special |



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