Bibliograph

Exact and Heuristic Methods in Combinatorial Optimization, A Study on the Linear Ordering and the Maximum Diversity Problem, by Rafael Martí, Gerhard Reinelt

Type

Label

Exact and Heuristic Methods in Combinatorial Optimization, A Study on the Linear Ordering and the Maximum Diversity Problem, by Rafael Martí, Gerhard Reinelt

Language

eng

resource.imageBitDepth

Literary Form

non fiction

Main title

Exact and Heuristic Methods in Combinatorial Optimization

Medium

electronic resource

Nature of contents

dictionaries

Oclc number

1303572809

Responsibility statement

by Rafael Martí, Gerhard Reinelt

Series statement

Applied Mathematical Sciences,, 175, 2196-968XSpringer eBooks.

Sub title

A Study on the Linear Ordering and the Maximum Diversity Problem

Summary

In 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.--, Provided by publisher

Table Of Contents

1 Introduction -- 2 Heuristic Methods -- 3 Meta-Heuristics -- 4 Branch-and-Bound -- 5 Branch-and-Cut -- 6 The Linear Ordering Polytope -- 7 Further Aspects -- References -- Index

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