Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials (Computational and Intelligent Systems)

Synopsis

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.

Copyright:

2024

Book Details

Book Quality:

Publisher Quality

ISBN-13:

9781000932966

Related ISBNs:

9781032191041, 9781003257714, 9781032191102

Publisher:

CRC Press

Date of Addition:

09/21/23

Copyrighted By:

selection and editorial matter, Deepak Sinwar, Kamalakanta Muduli, Vijaypal Singh Dhaka and Vijander Singh

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Technology

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

Deepak Sinwar

Edited by:

Kamalakanta Muduli

Edited by:

Vijaypal Singh Dhaka

Edited by:

Vijander Singh