Optimization by GRASP Greedy Randomized Adaptive Search Procedures
This is the first book to cover GRASP (Greedy Randomized Adaptive Search Procedures), a metaheuristic that has enjoyed wide success in practice with a broad range of applications to real-world combinatorial optimization problems. The state-of-the-art cove
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Optimization by GRASP Greedy Randomized Adaptive Search Procedures
Optimization by GRASP
Mauricio G.C. Resende • Celso C. Ribeiro
Optimization by GRASP Greedy Randomized Adaptive Search Procedures
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Mauricio G.C. Resende Modeling and Optimization Group (MOP) Amazon.com, Inc. Seattle, WA, USA
ISBN 978-1-4939-6528-1 DOI 10.1007/978-1-4939-6530-4
Celso C. Ribeiro Instituto de Ciˆencia da Computac¸a˜ o Universidade Federal Fluminense Niter´oi, Rio de Janeiro, Brazil
ISBN 978-1-4939-6530-4 (eBook)
Library of Congress Control Number: 2016948721 © Springer Science+Business Media New York 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer Science+Business Media LLC The registered company address is: 233 Spring Street, New York, NY 10013, U.S.A
In memory of David Stifler Johnson
Foreword
In recent years, advances in metaheuristics have given practitioners a powerful framework for making key decisions in problems as diverse as telecommunications network design and supply chain planning to scheduling in transportation systems. GRASP is a metaheuristic that has enjoyed wide success in practice, with an extraordinarily broad range of applications to real-world optimization problems. Starting from the seminal 1989 paper by Feo and Resende, over the past 25 years, a large body of work on greedy randomized adaptive search procedures has emerged. A vast array of papers on GRASP have been published in the open literature, and numerous MSc and PhD theses have been written on the subject. This book is a timely and welcome addition to the metaheuristics literature, bringing together this body of work in a single volume. The account of GRASP in this book is especially commendable for its readability, covering many facets of this metaheuristic, such as solution construction, local search, hybridizations, and extensions. It is organized into four main sections: in
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