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Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials
Loot Price: R3,765
Discovery Miles 37 650
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Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials
Series: Computational and Intelligent Systems
Expected to ship within 18 - 22 working days
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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 field 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.
It will serve as an ideal reference text for graduate students and
academic researchers in the field of industrial engineering,
manufacturing engineering, computer engineering, and materials
science. .
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