Handbook of Genetic Programming Applications
This contributed volume, written by leading international researchers, reviews the latest developments of genetic programming (GP) and its key applications in solving current real world problems, such as energy conversion and management, financial analysi
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Handbook of Genetic Programming Applications
Handbook of Genetic Programming Applications
Amir H. Gandomi • Amir H. Alavi • Conor Ryan Editors
Handbook of Genetic Programming Applications
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Editors Amir H. Gandomi BEACON Center for the Study of Evolution in Action Michigan State University East Lansing, MI, USA
Amir H. Alavi Department of Civil and Environmental Engineering Michigan State University East Lansing, MI, USA
Conor Ryan Department of Computer Science and Information Systems University of Limerick Limerick, Ireland
Supplementary material and data can be found on link.springer.com ISBN 978-3-319-20882-4 DOI 10.1007/978-3-319-20883-1
ISBN 978-3-319-20883-1 (eBook)
Library of Congress Control Number: 2015945115 Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2015 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 Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www. springer.com)
To my wife, Fariba, echo of my heart : : : Amir H. Alavi To Beautiful Heather, my own global optimum : : : Conor Ryan
Foreword
In the past two decades, artificial intelligence algorithms have proved to be promising tools for solving a multitude of tough scientific problems. Their success is due, in part, to the elegant manner in which they avoid the sort of handicaps that often plague mathematical programming-based tools, such as smooth and continuous objective functions. Thus, globally optimal (or close approximations of) design can be achievable with a finite and reasonable number of search iterations. One of the most exciting of these methods is Genetic Programming (GP), inspired by natural evolution and the Darwinian concept of “Survival of the Fittest”. GP’s ability to evolve computer programs has seen it enjoy a veritable explosion of use in the last 10 years in almost every area of science and engineering. This handbook brings together some of the most ex
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