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Computational Intelligence in Reliability Engineering: Evolutionary Techniques in Reliability Analysis and Optimization: 39 (Studies in Computational Intelligence, 39) - Hardcover
Synopsis
This two-volume book covers the recent applications of computational intel- gence techniques in reliability engineering. Research in the area of computational intelligence is growing rapidly due to the many successful applications of these new techniques in very diverse problems. “Computational Intelligence” covers many fields such as neural networks, fuzzy logic, evolutionary computing, and their hybrids and derivatives. Many industries have benefited from adopting this technology. The increased number of patents and diverse range of products dev- oped using computational intelligence methods is evidence of this fact. These techniques have attracted increasing attention in recent years for solving many complex problems. They are inspired by nature, biology, statistical te- niques, physics and neuroscience. They have been successfully applied in solving many complex problems where traditional problem-solving methods have failed. The book aims to be a repository for the current and cutting-edge applications of computational intelligent techniques in reliability analysis and optimization.
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From the Back Cover
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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Computational Intelligence in Reliability Engineering
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Computational Intelligence in Reliability Engineering: Evolutionary Techniques in Reliability Analysis and Optimization (Studies in Computational Intelligence, 39)
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hardcover. Condition: Very Good. Springer Verlag; Berlin, 2007. Hardcover. A Very Good, binding firm, trace handling/scuff marks to boards, mild edge/corner wear, dent top front and rear board edge, small tear bottom front joint, without Dust wrapper. A nice, clean and unmarked copy. 8vo[octavo or approx. 6 x 9 inches], 398pp., references. We pack securely and ship daily with delivery confirmation on every book. The picture on the listing page is of the actual book for sale. Additional Scan(s) are available for any item, please inquire.Please note: Oversized books/sets MAY require additional postage then what is quoted for 2.2lb book. Seller Inventory # SKU1037140
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Computational Intelligence in Reliability Engineering : Evolutionary Techniques in Reliability Analysis And Optimization
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Computational Intelligence in Reliability Engineering: Evolutionary Techniques in Reliability Analysis and Optimization (Studies in Computational Intelligence, 39)
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Computational Intelligence in Reliability Engineering
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ISBN 10: 3540373675
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This two-volume book covers the recent applications of computational intel- gence techniques in reliability engineering. Research in the area of computational intelligence is growing rapidly due to the many successful applications of these new techniques in very diverse problems. 'Computational Intelligence' covers many fields such as neural networks, fuzzy logic, evolutionary computing, and their hybrids and derivatives. Many industries have benefited from adopting this technology. The increased number of patents and diverse range of products dev- oped using computational intelligence methods is evidence of this fact. These techniques have attracted increasing attention in recent years for solving many complex problems. They are inspired by nature, biology, statistical te- niques, physics and neuroscience. They have been successfully applied in solving many complex problems where traditional problem-solving methods have failed. The book aims to be a repository for the current and cutting-edge applications of computational intelligent techniques in reliability analysis and optimization. 398 pp. Englisch. Seller Inventory # 9783540373674
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Computational Intelligence in Reliability Engineering : Evolutionary Techniques in Reliability Analysis and Optimization
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Springer, Berlin, Springer Berlin Heidelberg, Springer, 2006
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This two-volume book covers the recent applications of computational intel- gence techniques in reliability engineering. Research in the area of computational intelligence is growing rapidly due to the many successful applications of these new techniques in very diverse problems. 'Computational Intelligence' covers many fields such as neural networks, fuzzy logic, evolutionary computing, and their hybrids and derivatives. Many industries have benefited from adopting this technology. The increased number of patents and diverse range of products dev- oped using computational intelligence methods is evidence of this fact. These techniques have attracted increasing attention in recent years for solving many complex problems. They are inspired by nature, biology, statistical te- niques, physics and neuroscience. They have been successfully applied in solving many complex problems where traditional problem-solving methods have failed. The book aims to be a repository for the current and cutting-edge applications of computational intelligent techniques in reliability analysis and optimization. Seller Inventory # 9783540373674
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Computational Intelligence in Reliability Engineering
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ISBN 10: 3540373675
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Condition: New. Covers the recent applications of computational intelligence techniques in reliability engineeringContains a survey of the contributions made to the optimal reliability design literature in the resent years Presents applications of a geneti. Seller Inventory # 4888451
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