Computational Intelligence in Reliability Engineering Evolutionary Techniques in Reliability Analysis and Optimization /
This book covers the recent applications of computational intelligence techniques in reliability engineering. This volume contains a survey of the contributions made to the optimal reliability design literature in the resent years and chapters devoted to different applications of a genetic algorithm...
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| Format: | Electronic eBook |
| Language: | English |
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Berlin, Heidelberg :
Springer Berlin Heidelberg,
2007.
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| Series: | Studies in Computational Intelligence,
39 |
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| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Recent Advances in Optimal Reliability Allocation
- Multiobjective Metaheuristic Approaches to Reliability Optimization
- Genetic Algorithm Applications in Surveillance and Maintenance Optimization
- Genetic Algorithms and Monte Carlo Simulation for the Optimization of System Design and Operation
- New Evolutionary Methodologies for Integrated Safety System Design and Maintenance Optimization
- Optimal Redundancy Allocation of Multi-State Systems with Genetic Algorithms
- Intelligent Interactive Multiobjective Optimization of System Reliability
- Reliability Assessment of Composite Power Systems Using Genetic Algorithms
- Genetic Optimization of Multidimensional Technological Process Reliability
- Scheduling Multiple-version Programs on Multiple Processors
- Redundancy Optimization Problems with Uncertain Lifetimes
- Computational Intelligence Methods in Software Reliability Prediction.