MARC Record from marc_columbia

LEADER: 05541cam a2200709 i 4500
001 15826977
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008 211007s2021 flua ob 001 0 eng d
035 $a(OCoLC)on1273726835
035 $a(NNC)15826977
040 $aN$T$beng$erda$epn$cN$T$dUKAHL$dUKMGB$dTYFRS$dOCLCO$dOCLCQ$dOCLCO
015 $aGBC196404$2bnb
016 7 $a020226616$2Uk
019 $a1277061396
020 $a9781000432886$q(electronic bk.)
020 $a1000432882$q(electronic bk.)
020 $a9781000432916$q(ePub ebook)
020 $a1000432912
020 $a9781003202653$q(ebook)
020 $a1003202659
020 $z9781032065205
020 $z1032065206
024 7 $a10.1201/9781003202653$2doi
035 $a(OCoLC)1273726835$z(OCoLC)1277061396
037 $a9781000432916$bIngram Content Group
037 $a9781003202653$bTaylor & Francis
050 4 $aHD38.5
072 7 $aTEC$x004000$2bisacsh
072 7 $aSCI$x064000$2bisacsh
072 7 $aMAT$x042000$2bisacsh
072 7 $aTHR$2bicssc
082 04 $a658.51015196$223
049 $aZCUA
100 1 $aDing, Shuxin,$d1991-$eauthor.
245 10 $aMetaheuristics for resource deployment under uncertainty in complex systems /$cShuxin Ding, Chen Chen, Qi Zhang, Bin Xin, Panos M. Pardalos.
264 1 $aBoca Raton :$bCRC Press,$c2021.
300 $a1 online resource (1 volume) :$billustrations (black and white)
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
504 $aIncludes bibliographical references and index.
588 0 $aPrint version record.
520 $aMetaheuristics for Resource Deployment under Uncertainty in Complex Systems analyzes how to set locations for the deployment of resources to incur the best performance at the lowest cost. Resources can be static nodes and moving nodes while services for a specific area or for customers can be provided. Theories of modeling and solution techniques are used with uncertainty taken into account and real-world applications used. The authors present modeling and metaheuristics for solving resource deployment problems under uncertainty while the models deployed are related to stochastic programming, robust optimization, fuzzy programming, risk management, and single/multi-objective optimization. The resources are heterogeneous and can be sensors and actuators providing different tasks. Both separate and cooperative coverage of the resources are analyzed. Previous research has generally dealt with one type of resource and considers static and deterministic problems, so the book breaks new ground in its analysis of cooperative coverage with heterogeneous resources and the uncertain and dynamic properties of these resources using metaheuristics. This book will help researchers, professionals, academics, and graduate students in related areas to better understand the theory and application of resource deployment problems and theories of uncertainty, including problem formulations, assumptions, and solution methods.
545 0 $aShuxin Ding is currently an assistant researcher with the Signal and Communication Research Institute, China Academy of Railway Sciences Corporation Limited. His current research interests include railway scheduling, evolutionary computation, multi-objective optimization, and optimization under uncertainty. Chen Chen is currently a professor with the School of Automation, Beijing Institute of Technology. Her current research interests include complicated systems, multi-objective optimization, and distributed simulation. Qi Zhang is currently a chief researcher of China Academy of Railway Sciences Corporation Limited, and a leader in railway technical expertise. His research interests include railway signal and communication, automatic train operation, train operation control, intelligent dispatching, and cooperative control of multiple trains. Bin Xin is currently a professor with the School of Automation, Beijing Institute of Technology. His current research interests include search and optimization, evolutionary computation, unmanned systems, and multi-agent systems. Panos M. Pardalos is a Distinguished Professor in the Department of Industrial and Systems Engineering at the University of Florida, and an affiliated faculty of the Biomedical Engineering and Computer Science & Information & Engineering departments. He has published over 500 journal papers and edited/authored over 200 books. He is one of the most cited authors and has graduated 65 Ph. D. students so far.
650 0 $aBusiness logistics.
650 0 $aMetaheuristics.
650 6 $aLogistique (Organisation)
650 6 $aMétaheuristiques.
650 7 $aTECHNOLOGY$xAutomation.$2bisacsh
650 7 $aSCIENCE$xSystem Theory.$2bisacsh
650 7 $aBusiness logistics.$2fast$0(OCoLC)fst00842759
650 7 $aMetaheuristics.$2fast$0(OCoLC)fst02000551
655 4 $aElectronic books.
700 1 $aChen, Chen,$d1982-$eauthor.
700 1 $aZhang, Qi,$d1968-$eauthor.
700 1 $aXin, Bin,$d1982-$eauthor.
700 1 $aPardalos, P. M.$q(Panos M.),$d1954-$eauthor.
776 08 $iPrint version:$aDing, Shuxin, 1991-$tMetaheuristics for resource deployment under uncertainty in complex systems.$dBoca Raton : CRC Press, 2021$z9781032065205$w(OCoLC)1259526611
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15826977$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS