Biologically Inspired Algorithms for Financial Modelling
Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of this book is the application of biologically inspired algorithms (BIAs) to financial modelling. In a detailed introduction, the authors explain computer t
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Leiden Center for Natural Computing
Advisory Board: S. Amari G. Brassard K.A. De Jong C.C.A.M. Gielen T. Head L. Kari L. Landweber T. Martinetz ° Z. Michalewicz M.C. Mozer E. Oja G. Paun J. Reif H. Rubin A. Salomaa M. Schoenauer H.-P. Schwefel C. Torras D. Whitley E. Winfree J.M. Zurada
Anthony Brabazon · Michael O’Neill
Biologically Inspired Algorithms for Financial Modelling With 92 Figures and 39 Tables
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Authors Dr. Anthony Brabazon
Series Editors G. Rozenberg (Managing Editor)
University College Dublin Belfield, Dublin 4 Ireland [email protected]
[email protected]
Dr. Michael O’Neill University College Dublin Belfield, Dublin 4 Ireland
Th. Bäck, J.N. Kok, H.P. Spaink Leiden Institute of Advanced Computer Science Leiden University Niels Bohrweg 1 2333 CA Leiden, The Netherlands A.E. Eiben Vrije Universiteit Amsterdam The Netherlands
Library of Congress Control Number: 2005936099
ACM Computing Classification (1998): F.1, F.2, I.2.1, I.2.8, I.6, J.1, J.4 ISBN-10 3-540-26252-0 Springer Berlin Heidelberg New York ISBN-13 978-3-540-26252-7 Springer Berlin Heidelberg New York This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable for prosecution under the German Copyright Law. Springer is a part of Springer Science+Business Media springer.com © Springer-Verlag Berlin Heidelberg 2006 Printed in Germany The use of general descriptive names, registered names, trademarks, 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. Cover Design: KünkelLopka, Werbeagentur, Heidelberg Typesetting: by the Authors Production: LE-TEX Jelonek, Schmidt & Vöckler GbR, Leipzig Printed on acid-free paper 45/3142/YL – 5 4 3 2 1 0
To Maria Tony
To Gr´ ainne Michael
Preface
The field of biologically inspired computing has advanced rapidly over the past decade. One offshoot of this progress has been the development of a large family of biologically inspired algorithms. Broadly speaking, biologically inspired algorithms draw metaphorical inspiration from diverse sources, including the operation of biological neurons, processes of evolution, models of social interaction amongst organisms, and natural immune systems, in order to develop tools for solving real-world problems. This book provides an introduction to a broad range of biologically inspired algorithms and illustrates how they can be applied fo
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