Global Optimization Scientific and Engineering Case Studies
Optimization models based on a nonlinear systems description often possess multiple local optima. The objective of global optimization (GO) is to find the best possible solution of multiextremal problems. Global Optimization: Selected Case Studies illustr
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Nonconvex Optimization and Its Applications VOLUME 85 Managing Editor: Panos Pardalos University of Florida, U.S.A.
Advisory Board: J. R. Birge University of Chicago, U.S.A. Ding-Zhu Du University of Minnesota, U.S.A. C. A. Floudas Princeton University, U.S.A. J. Mockus Lithuanian Academy of Sciences, Lithuania H. D. Sherali Virginia Polytechnic Institute and State University, U.S.A. G. Stavroulakis Technical University Braunschweig, Germany H.Tuy National Centre for Natural Science and Technology, Vietnam
GLOBAL OPTIMIZATION Scientific and Engineering Case Studies
Edited by JANOS D. PINTER Pinter Consulting Services Inc., Halifax, Nova Scotia, Canada
Springer
Library of Congress Control Number:
ISBN-10: 0-387-30408-8
2005937082
e-ISBN: 0-387-30927-6
ISBN-13: 978-0387-30408-3
Printed on acid-free paper.
AMS Subject Classifications: 90C26, 65K99> 90C90, 68Uxx, 78A99 © 2006 Springer Science+Business Media, LLC
All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed in the United States of America. 987654321 springer.com
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Contents Preface and Acknowledgments J. D. Pinter Chapter 1 Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Chapter 8
Chapter 9
Chapter 10
Global Optimization in Solvent Design L. E. K. Achenie, G. M. Ostrovsky and M. Sinha
1
Feeding Strategies for Maximising Gross Margin in Pig Production D. L J, Alexander, P ,C .H. Morel and G. R, Wood
33
Optimized Design of Dynamic Networks with Heuristic Algorithms S. Allen, S. Hurley, V. Samko and R, Whitaker
45
A New Smoothing-based Global Optimization Algorithm for Protein Conformation Problems A. M. Azmi, R. H, Byrd, E, Eskow and R. B. Schnabel
73
Physical Perspectives on the Global Optimization of Atomic Clusters J.P.KDoye
103
Efficient Global Geometry Optimization of Atomic and Molecular Clusters B. Hartke
141
Computational Analysis of Human DNA Sequences: An Application of Artificial Neural Networks A. G. Hatzigeorgiou and M. S. Megraw
169
Determination of a Laser Cavity Field Solution Using Global Optimization G. Isenor, J. D. Pinter and M. Cada
181
Computational Ex
