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Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials

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 Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials
BOOK DOWNLOAD

Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials

$20.00

(Computational and Intelligent Systems)

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

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.

Year:
2024
Pages:
211
Language:
English
Format:
Original PDF
Size:
40 MB
ASIN:
B0CDNDLCLM
ISBN-10:
1032191104, 1000932966, 103219104X
ISBN-13:
9781032191102, 9781000932966, 9781032191041, 978-1032191102, 978-1000932966, 978-1032191041
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