Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials, EPUB eBook

Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials EPUB

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

Part of the Computational and Intelligent Systems series

EPUB

Please note: eBooks can only be purchased with a UK issued credit card and all our eBooks (ePub and PDF) are DRM protected.

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.