
Computational Intelligence in Reliability Engineering
New Metaheuristics, Neural and Fuzzy Techniques in Reliability
Gregory Levitin(Editor)
Springer (Publisher)
Published on 17. November 2010
Book
Paperback/Softback
XIV, 413 pages
978-3-642-07219-2 (ISBN)
Description
This two volume book covers the recent applications of computational intelli gence techniques in reliability engineering. Research in the area of computational intelligence is growing rapidly due to the many successful applications of these new techniques in very diverse problems. "Computational Intelligence" covers many fields such as neural networks, fu zzy logic, evolutionary computing, and their hybrids and derivatives. Many indus tries have benefited from adopting this technology. The increased number of patents and diverse range of products devel oped using computational intelligence methods is evidence of this fact. These techniques have attracted increasing attention in recent years for solving many complex problems. They are inspired by nature, biology, statistical tech niques, physics and neuroscience. They have been successfully applied in solving many complex problems where traditional problem solving methods have failed. The book aims to be a repository for the current and cutting edge applications of computational intelligent techniques in reliability analysis and optimization.
More details
Series
Edition
1st ed. Softcover of orig. ed. 2007
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
XIV, 413 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 24 mm
Weight
645 gr
ISBN-13
978-3-642-07219-2 (9783642072192)
DOI
10.1007/978-3-540-37372-8
Schweitzer Classification
Other editions
Additional editions

Gregory Levitin
Computational Intelligence in Reliability Engineering
New Metaheuristics, Neural and Fuzzy Techniques in Reliability
Book
10/2006
Springer
€160.49
Shipment within 10-15 days
Content
The Ant Colony Paradigm for Reliable Systems Design.- Modified Great Deluge Algorithm versus Other Metaheuristics in Reliability Optimization.- Applications of the Cross-Entropy Method in Reliability.- Particle Swarm Optimization in Reliability Engineering.- Cellular Automata and Monte Carlo Simulation for Network Reliability and Availability Assessment.- Network Reliability Assessment through Empirical Models using a Machine Learning Approach.- Neural Networks for Reliability-Based Optimal Design.- Software Reliability Predictions using Artificial Neural Networks.- Computation Intelligence in Online Reliability Monitoring.- Imprecise Reliability: An Introductory Overview.- Posbist Reliability Theory for Coherent Systems.- Analyzing Fuzzy System Reliability Based on the Vague Set Theory.- Fuzzy Sets in the Evaluation of Reliability.- Grey Differential Equation GM(1,1) Models in Repairable System Modeling.