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Computational Intelligence in Reliability Engineering: Evolutionary Techniques in Reliability Analysis and Optimization
Kategorie	Beschreibung
036a	XA-DE
037b	eng
077a	262509687 Buchausg. u.d.T.: ‡Computational intelligence in reliability engineering
087q	978-3-540-37367-4
100b	Levitin, Gregory
331	Computational Intelligence in Reliability Engineering
335	Evolutionary Techniques in Reliability Analysis and Optimization
410	Berlin, Heidelberg
412	Springer-Verlag Berlin Heidelberg
425	2007
425a	2007
433	Online-Ressource (XIV, 398 p. 99 illus. Also available online, digital)
451	Studies in Computational Intelligence ; 39
501	Description based upon print version of record
517	""Preface""; ""Contents""; ""Recent Advances in Optimal Reliability Allocation1""; ""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""
527	Buchausg. u.d.T.: ‡Computational intelligence in reliability engineering
540a	ISBN 978-3-540-37368-1
700	\|MAT003000
700	\|*90-06
700	\|00B15
700	\|90B25
700	\|TBJ
700	\|TEC009000
700b	\|620.00452028563
700b	\|519
700b	\|620
700c	\|TA329-348
700c	\|TA640-643
750	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.
753	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.
902s	209583711 Technisches System
902s	209130075 Zuverlässigkeit
902s	211690708 Evolutionärer Algorithmus
907s	209583711 Technisches System
907s	209130075 Zuverlässigkeit
907s	211690708 Evolutionärer Algorithmus
012	264371755
081	Computational Intelligence in Reliability Engineering
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttp://dx.doi.org/10.1007/978-3-540-37368-1