001452444 000__ 03811cam\a22004937i\4500
001452444 001__ 1452444
001452444 003__ OCoLC
001452444 005__ 20230310003356.0
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001452444 007__ cr\cn\nnnunnun
001452444 008__ 230131s2022\\\\sz\\\\\\ob\\\\001\0\eng\d
001452444 019__ $$a1365331837
001452444 020__ $$a9783031124440$$q(electronic bk.)
001452444 020__ $$a3031124448$$q(electronic bk.)
001452444 020__ $$z303112443X
001452444 020__ $$z9783031124433
001452444 0247_ $$a10.1007/978-3-031-12444-0$$2doi
001452444 035__ $$aSP(OCoLC)1367326504
001452444 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dN$T
001452444 049__ $$aISEA
001452444 050_4 $$aHE147.7
001452444 08204 $$a388.015/118$$223/eng/20230131
001452444 1001_ $$aGkiotsalitis, Konstantinos,$$eauthor.
001452444 24510 $$aPublic transport optimization /$$cKonstantinos Gkiotsalitis.
001452444 264_1 $$aCham, Switzerland :$$bSpringer,$$c2022.
001452444 300__ $$a1 online resource (1 volume) :$$billustrations (black and white, and colour).
001452444 336__ $$atext$$btxt$$2rdacontent
001452444 337__ $$acomputer$$bc$$2rdamedia
001452444 338__ $$aonline resource$$bcr$$2rdacarrier
001452444 504__ $$aIncludes bibliographical references and index.
001452444 5050_ $$aPart I Mathematical Programming of Public Transport Problems -- 1 Introduction to Mathematical Programming -- 2 Introduction to Computational Complexity -- 3 Continuous Unconstrained Optimization -- 4 Continuous Constrained Optimization -- 5 Discrete Optimization -- Part II Solution Approximation with Artificial Intelligence: The case of metaheuristics -- 6 Metaheuristics for Discrete Optimization Problems -- 7 Metaheuristics for Continuous Optimization Problems -- 8 Multi-objective Optimization Metaheuristics -- Part III Public Transport Optimization: from Network Design to Operations -- 9 Public Transport Network Design -- 10 Tactical Planning of Public Transport Services -- 11 Multi-modal Synchronization at the Tactical Planning Stage -- 12 Operational Planning and Control -- 13 Planning under Uncertainty.
001452444 506__ $$aAccess limited to authorized users.
001452444 520__ $$aThis textbook provides a comprehensive step-by-step guide for new public transport modelers. It includes an introduction to mathematical modeling, continuous and discrete optimization, numerical optimization, computational complexity analysis, metaheuristics, and multi-objective optimization. These tools help engineers and modelers to use better existing public transport models and also develop new models that can address future challenges. By reading this book, the reader will gain the ability to translate a future problem description into a mathematical model and solve it using an appropriate solution method. The textbook provides the knowledge needed to develop highly accurate mathematical models that can serve as decision support tools at the strategic, tactical, and operational planning levels of public transport services. Its detailed description of exact optimization methods, metaheuristics, bi-level, and multi-objective optimization approaches together with the detailed description of implementing these approaches in classic public transport problems with the use of open source tools is unique and will be highly useful to students and transport professionals.
001452444 588__ $$aDescription based on print version record.
001452444 650_0 $$aTransportation$$xMathematical models.
001452444 650_0 $$aMathematical optimization.
001452444 655_0 $$aElectronic books.
001452444 77608 $$iPrint version:$$aGKIOTSALITIS, KONSTANTINOS.$$tPUBLIC TRANSPORT OPTIMIZATION.$$d[Place of publication not identified] : SPRINGER INTERNATIONAL PU, 2022$$z303112443X$$w(OCoLC)1332781451
001452444 852__ $$bebk
001452444 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-12444-0$$zOnline Access$$91397441.1
001452444 909CO $$ooai:library.usi.edu:1452444$$pGLOBAL_SET
001452444 980__ $$aBIB
001452444 980__ $$aEBOOK
001452444 982__ $$aEbook
001452444 983__ $$aOnline
001452444 994__ $$a92$$bISE