Produktbild: Computational Intelligence in Reliability Engineering
Band 39

Computational Intelligence in Reliability Engineering Evolutionary Techniques in Reliability Analysis and Optimization

145,99 €

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

26.10.2006

Abbildungen

XIV, 398 p.

Herausgeber

Gregory Levitin

Verlag

Springer Berlin

Seitenzahl

398

Maße (B/H)

21/29,7 cm

Gewicht

1244 g

Sprache

Englisch

ISBN

978-3-540-37367-4

Beschreibung

Rezension

From the reviews:



"This book is the first volume which covers … metaheuristic approaches in multiobjective reliability optimization and application of genetic algorithms in reliability optimization. … the reviewer would like to recommend this book to all reliability researchers to have a serious look at the material presented in the book and to reliability post graduate engineering students and mathematicians. … would like to congratulate the editor for compiling a voluminous ‘repository of the current and cutting edge computational intelligent techniques in reliability analysis and optimization’." (Krishna B. Misra, International Journal of Performability Engineering, Vol. 4 (3), 2008)

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

26.10.2006

Abbildungen

XIV, 398 p.

Herausgeber

Gregory Levitin

Verlag

Springer Berlin

Seitenzahl

398

Maße (B/H)

21/29,7 cm

Gewicht

1244 g

Sprache

Englisch

ISBN

978-3-540-37367-4

Herstelleradresse

Springer Nature Customer Service Center GmbH
Europaplatz 3
69115 Heidelberg
DE
ProductSafety@springernature.com

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  • Produktbild: Computational Intelligence in Reliability Engineering
  • 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.