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010 _a978-3-662-64877-3
_dcompra
090 _a92287
100 _a20231023d2022 k||y0pory50 ba
101 _aeng
102 _aDE
200 _aExact and heuristic methods in combinatorial optimization
_bDocumento eletrónico
_ea study on the linear ordering and the maximum diversity problem
_fby Rafael Martí, Gerhard Reinelt
205 _a2nd ed.
210 _aBerlin, Heidelberg
_cSpringer
_d2022
215 _aXI, 227 p.
_cil.
225 _aApplied Mathematical Sciences
_v175
303 _aIn the last decades, algorithmic advances as well as hardware and software improvements have provided an excellent environment to create and develop solving methods to hard optimization problems. Modern exact and heuristic techniques are dramatically enhancing our ability to solve significant practical problems. This monograph sets out state-of-the-art methodologies for solving combinatorial optimization problems, illustrating them with two well-known problems. This second edition of the book extends the first one by adding to the 'linear ordering problem' (LOP), included in the first edition, the 'maximum diversity problem' (MDP). In this way, we provide the reader with the background, elements and strategies to tackle a wide range of different combinatorial optimization problems. The exact and heuristic techniques outlined in these pages can be put to use in any number of combinatorial optimization problems. While the authors employ the LOP and the MDP to illustrate cutting-edge optimization technologies, the book is also a tutorial on how to design effective and successful implementations of exact and heuristic procedures alike. This monograph provides the basic principles and fundamental ideas that will enable students and practitioners to create valuable applications based on both exact and heuristic technologies. Specifically, it is aimed at engineers, scientists, operations researchers, and other applications specialists who are looking for the most appropriate and recent optimization tools to solve particular problems. The book provides a broad spectrum of advances in search strategies with a focus on its algorithmic and computational aspects.
606 _aAlgorithms
606 _aMathematical optimization
606 _aComputer science
_xMathematics
606 _aDiscrete mathematics
606 _aApplication software
680 _aQA76.9.A43
700 _aMartí
_bRafael
_940714
701 _aReinelt
_bGerhard
_4070
_957582
801 _aPT
_gRPC
856 _uhttps://doi.org/10.1007/978-3-662-64877-3
942 _2lcc
_cF
_n0