000753614 000__ 02709cam\a2200409K\\4500 000753614 001__ 753614 000753614 005__ 20230306141607.0 000753614 006__ m\\\\\o\\d\\\\\\\\ 000753614 007__ cr\un\nnnunnun 000753614 008__ 160202s2016\\\\xx\\\\\\o\\\\\000\0\eng\d 000753614 020__ $$a9783319260242$$q(electronic book) 000753614 020__ $$a3319260243$$q(electronic book) 000753614 020__ $$z3319260227 000753614 020__ $$z9783319260228 000753614 035__ $$aSP(OCoLC)ocn936412702 000753614 035__ $$aSP(OCoLC)936412702 000753614 040__ $$aYDXCP$$beng$$cYDXCP$$dN$T$$dIDEBK$$dEBLCP$$dN$T$$dAZU$$dOCLCF$$dDEBSZ$$dCDX$$dCOO$$dOCLCO 000753614 049__ $$aISEA 000753614 050_4 $$aQA76.9.A43 000753614 08204 $$a005.1$$223 000753614 24500 $$aHeuristics, metaheuristics and approximate methods in planning and scheduling$$h[electronic resource]. 000753614 250__ $$a1st ed. 2016. 000753614 260__ $$a[S.l.] :$$bSpringer,$$c2016. 000753614 300__ $$a1 online resource. 000753614 4901_ $$aInternational Series in Operations Research & Management Science,$$x2214-7934 ;$$vVolume 236 000753614 504__ $$aIncludes bibliographical references and index. 000753614 506__ $$aAccess limited to authorized users. 000753614 520__ $$aThe scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorithms as applied to planning and scheduling problems. While it is not possible to give a comprehensive treatment of this topic in one book, the aim of this work is to provide the reader with a diverse set of planning and scheduling problems and different heuristic approaches to solve them. The problems range from traditional single stage and parallel machine problems to more modern settings such as robotic cells and flexible job shop networks. Furthermore, some chapters deal with deterministic problems while some others treat stochastic versions of the problems. Unlike most of the literature that deals with planning and scheduling problems in the manufacturing and production environments, in this book the environments were extended to nontraditional applications such as spatial scheduling (optimizing space over time), runway scheduling, and surgical scheduling. The solution methods used in the different chapters of the book also spread from well-established heuristics and metaheuristics such as Genetic Algorithms and Ant Colony Optimization to more recent ones such as Meta-RaPS. 000753614 650_0 $$aHeuristic algorithms. 000753614 650_0 $$aScheduling. 000753614 7001_ $$aRabadi, Ghaith. 000753614 77608 $$iPrint version:$$z3319260227$$z9783319260228$$w(OCoLC)922630448 000753614 830_0 $$aInternational series in operations research & management science ;$$vVolume 236. 000753614 852__ $$bebk 000753614 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-26024-2$$zOnline Access$$91397441.1 000753614 909CO $$ooai:library.usi.edu:753614$$pGLOBAL_SET 000753614 980__ $$aEBOOK 000753614 980__ $$aBIB 000753614 982__ $$aEbook 000753614 983__ $$aOnline 000753614 994__ $$a92$$bISE