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

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Levitin, Gregory (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
Σειρά:Studies in Computational Intelligence, 40
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.