Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials

Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials
Author :
Publisher : CRC Press
Total Pages : 211
Release :
ISBN-10 : 9781000932935
ISBN-13 : 1000932931
Rating : 4/5 (931 Downloads)

Book Synopsis Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials by : Deepak Sinwar

Download or read book Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials written by Deepak Sinwar and published by CRC Press. This book was released on 2023-09-25 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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