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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...
| Clasificación: | Libro Electrónico |
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| Autor Corporativo: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2007.
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| Edición: | 1st ed. 2007. |
| Colección: | Studies in Computational Intelligence,
40 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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.