Computational Intelligence in Reliability Engineering New Metaheuristics, Neural and Fuzzy Techniques in Reliability /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Levitin, Gregory (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Series: Studies in Computational Intelligence, 40
• Subjects: Engineering.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Computational intelligence.; Quality control.; Reliability.; Industrial safety.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Quality Control, Reliability, Safety and Risk.; Applications of Mathematics.; Computational Intelligence.

This volume contains chapters presenting applications of different metaheuristics (ant colony optimization, great deluge algorithm, cross-entropy method and particle swarm optimization) in reliability engineering. It also includes chapters devoted to cellular automata and support vector machines and...

Table of Contents:

• 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.