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04070nam a22006015i 4500 |
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978-3-540-37368-1 |
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DE-He213 |
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20210616164739.0 |
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|a Computational Intelligence in Reliability Engineering
|h [electronic resource] :
|b Evolutionary Techniques in Reliability Analysis and Optimization /
|c edited by Gregory Levitin.
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| 250 |
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|a 1st ed. 2007.
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| 264 |
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1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2007.
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| 300 |
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|a XIV, 398 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|b PDF
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|a Studies in Computational Intelligence,
|x 1860-949X ;
|v 39
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0 |
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|a 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.
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|a 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 in reliability engineering and to combinations of this algorithm with other computational intelligence techniques. Genetic algorithms are one of the most widely used metaheuristics, inspired by the optimization procedure that exists in nature, the biological phenomenon of evolution.
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|a Applied mathematics.
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|a Engineering mathematics.
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| 650 |
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|a Artificial intelligence.
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|a Quality control.
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| 650 |
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|a Reliability.
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| 650 |
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|a Industrial safety.
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| 650 |
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|a Computational intelligence.
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| 650 |
1 |
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|a Mathematical and Computational Engineering.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T11006
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| 650 |
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|a Artificial Intelligence.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I21000
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| 650 |
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|a Quality Control, Reliability, Safety and Risk.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T22032
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| 650 |
2 |
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|a Applications of Mathematics.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M13003
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| 650 |
2 |
4 |
|a Computational Intelligence.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T11014
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| 700 |
1 |
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|a Levitin, Gregory.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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| 776 |
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|i Printed edition:
|z 9783540827788
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| 776 |
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|i Printed edition:
|z 9783642072185
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783540373674
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| 830 |
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|a Studies in Computational Intelligence,
|x 1860-949X ;
|v 39
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-540-37368-1
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| 912 |
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|a ZDB-2-ENG
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| 912 |
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|a ZDB-2-SXE
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| 950 |
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|a Engineering (SpringerNature-11647)
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| 950 |
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|a Engineering (R0) (SpringerNature-43712)
|
