LEADER 04149nam 2200505 450 001 9910746994603321 005 20231007051128.0 010 $a3-031-40997-3 024 7 $a10.1007/978-3-031-40997-4 035 $a(MiAaPQ)EBC30752328 035 $a(Au-PeEL)EBL30752328 035 $a(DE-He213)978-3-031-40997-4 035 $a(PPN)272737240 035 $a(EXLCZ)9928284163100041 100 $a20231007d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aReliability Engineering and Computational Intelligence for Complex Systems $eDesign, Analysis and Evaluation /$fCoen van Gulijk, Elena Zaitseva, and Miroslav Kvassay 205 $aFirst edition. 210 1$aCham, Switzerland :$cSpringer,$d[2023] 210 4$dİ2023 215 $a1 online resource (224 pages) 225 1 $aStudies in Systems, Decision and Control Series ;$vVolume 496 311 08$aPrint version: van Gulijk, Coen Reliability Engineering and Computational Intelligence for Complex Systems Cham : Springer,c2023 9783031409967 327 $aMathematical methods for Reliability Engineering and Computational Intelligence -- Experimental Survey of Algorithms for the Calculation of Node Traversal Probabilities in Multi-valued Decision Diagrams -- Reliability Analysis of Data Storage Using Survival Signature and Logic Differential Calculus -- Digital techniques for Reliability Engineering and Computational Intelligence -- Software tests quality evaluation using code mutants -- Hacking DCNs. 330 $aThis book offers insight into the current issues of the merger between reliability engineering and computational intelligence. The intense development of information technology allows for designing more complex systems as well as creating more detailed models of real-world systems which forces traditional reliability engineering approaches based on Boolean algebra, probability theory, and statistics to embrace the world of data science. The works deal with methodological developments as well as applications in the development of safe and reliable systems in various kinds of distribution networks, in the development of highly reliable healthcare systems, in finding weaknesses in systems with the human factor, or in reliability analysis of large information systems and other software solutions. In this book, experts from various fields of reliability engineering and computational intelligence present their view on the risks, the opportunities and the synergy between reliability engineering and computational intelligence that have been developed separately but in recent years have found a way to each other. The topics addressed include the latest advances in computing technology to improve the real lives of millions of people by increasing safety and reliability of various types of real-life systems by increasing the availability of software services, reducing the accident rate of means of transport, developing high reliable patient-specific health care, or generally, save cost and increase efficiency in the work and living environment. Though this book, the reader has access to professionals and researchers in the fields of reliability engineering and computational intelligence that share their experience in merging the two as well as an insight into the latest methods, concerns and application domains. 410 0$aStudies in systems, decision and control ;$vVolume 496. 606 $aComputational intelligence$xMathematical models 606 $aReliability (Engineering)$xMathematical models 615 0$aComputational intelligence$xMathematical models. 615 0$aReliability (Engineering)$xMathematical models. 676 $a620.00452 700 $aGulijk$b Coen van$01431111 702 $aZai?t?s?eva$b Elena 702 $aKvassay$b Miroslav 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910746994603321 996 $aReliability Engineering and Computational Intelligence for Complex Systems$93572709 997 $aUNINA