Synopses & Reviews
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 illustrates the applicability of GO modeling techniques and solution strategies to real-world problems. The contributed chapters cover a broad range of applications from agroecosystem management, assembly line design, bioinformatics, biophysics, black box systems optimization, cellular mobile network design, chemical process optimization, chemical product design, composite structure design, computational modeling of atomic and molecular structures, controller design for induction motors, electrical engineering design, feeding strategies in animal husbandry, the inverse position problem in kinematics, laser design, learning in neural nets, mechanical engineering design, numerical solution of equations, radiotherapy planning, robot design, and satellite data analysis. The solution strategies discussed encompass a range of practically viable methods, including both theoretically rigorous and heuristic approaches. Audience This book is intended for researchers and practitioners in academia, research and consulting organizations, and industry.
Review
From the reviews: "The general subject of global optimization deals with finding the overall minimum of a nonlinear, non-convex objective function, subject to nonlinear, non-convex equality and inequality constraints ... . This collection should thus be of use to researchers in algorithms and theory of global optimization, especially those involved in consulting or on teams dealing with practical models. ... The collection should also be of use to researchers in particular applications and other consumers of optimization results ... ." (Ralph Baker Kearfott, Journal of Global Optimization, Vol. 38, 2007)
Synopsis
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. This volume illustrates the applicability of GO modeling techniques and solution strategies to real-world problems. Coverage extends to a broad range of applications, from agroecosystem management to robot design. Proposed solutions encompass a range of practical and viable methods.
Table of Contents
Preface and Acknowledgments (J. D. Pintér) 1. Global Optimization in Solvent Design (L. E. K. Achenie, G. M. Ostrovsky and M. Sinha) 2. Feeding Strategies for Maximising Gross Margin in Pig Production (D. L. J. Alexander, P .C .H. Morel and G. R. Wood) 3. Optimized Design of Dynamic Networks with Heuristic Algorithms (S. Allen, S. Hurley, V. Samko and R. Whitaker) 4. A New Smoothing-based Global Optimization Algorithm for Protein Conformation Problems (A. M. Azmi, R. H. Byrd, E. Eskow and R. B. Schnabel) 5. Physical Perspectives on the Global Optimization of Atomic Clusters (J. P. K. Doye) 6. Efficient Global Geometry Optimization of Atomic and Molecular Clusters (B. Hartke) 7. Computational Analysis of Human DNA Sequences: An Application of Artificial Neural Networks (A. G. Hatzigeorgiou and M. S. Megraw) 8. Determination of a Laser Cavity Field Solution Using Global Optimization (G. Isenor, J. D. Pintér and M. Cada) 9. Computational Experience with the Molecular Distance Geometry Problem (C. Lavor, L. Liberti and N. Macaulan) 10. Non-linear Optimization Models in Water Resource Systems (S. Liberatore, G. M. Sechi and P. Zuddas) 11. Solving the Phase Unwrapping Problem by a Parameterized Network Optimization Approach (P. Maponi and F. Zirilli) 12. Evolutionary Algorithms for Global Optimization (A. Osyczka and S. Krenich) 13. Determining 3-D Structure of Spherical Viruses by Global Optimization (O. Ozturk, P. C. Doerschuk and S. B. Gelfand) 14. A Collaborative Solution Methodology for Inverse Position Problem (C. S. Pedamallu and L. Özdamar) 15. Improved Learning of Neural Nets through Global Search (V. P. Plagianakos, G. D. Magoulos and M. N. Vrahatis) 16. Evolutionary Approach to Design Assembly Lines (B. Rekiek, P. De Lit and A. Delchambre) 17. Agroecosystem Management (R. Seppelt) 18. Finding the Minimal Root of an Equation - Applications and Algorithms Based on Lipschitz Condition (Ya. D. Sergeyev) 19. Optimization of Radiation Therapy Dose Delivery with Multiple Static Collimation (J. Tervo, P. Kolmonen, J. D. Pintér and T. Lyyra-Lahtinen) 20. Parallel Triangulated Partitioning for Black Box Optimization (Y. Wu, L. Özdamar and A. Kumar) 21. A Case Study: Composite Structure Design Optimization (Z. B. Zabinsky, M. E. Tuttle and C. Khompatraporn) 22. Neural Network Enhanced Optimal Self-tuning Controller Design for Induction Motors (Q. M. Zhu, L. Z. Guo and Z. Ma)