Global Optimization (eBook)

Scientific and Engineering Case Studies

János D. Pintér (Herausgeber)

eBook Download: PDF

2006 | 2006
XXIII, 546 Seiten
Springer US (Verlag)
978-0-387-30927-9 (ISBN)

Infos

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.

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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. 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.

Inhalt

Contents 7
Preface 9
Acknowledgments 22
Chapter 1 A GLOBAL OPTIMIZATION STRATEGY AND ITS USE IN SOLVENT DESIGN 23
Chapter 2 FEEDING STRATEGIES FOR MAXIMISING GROSS MARGIN IN PIG PRODUCTION 54
Chapter 3 OPTIMIZED DESIGN OF DYNAMIC NETWORKS WITH HEURISTIC ALGORITHMS 65
Chapter 4 A NEW SMOOTHING- BASED GLOBAL OPTIMIZATION ALGORITHM FOR PROTEIN CONFORMATION PROBLEMS 93
Chapter 5 PHYSICAL PERSPECTIVES ON THE GLOBAL OPTIMIZATION OF ATOMIC CLUSTERS 123
Chapter 6 EFFICIENT GLOBAL GEOMETRY OPTIMIZATION OF ATOMIC AND MOLECULAR CLUSTERS 160
Chapter 7 COMPUTATIONAL ANALYSIS OF HUMAN DNA SEQUENCES: AN APPLICATION OF ARTIFICIAL NEURAL NETWORKS. 187
Chapter 8 DETERMINATION OF A LASER CAVITY FIELD SOLUTION USING GLOBAL OPTIMIZATION 199
Chapter 9 COMPUTATIONAL EXPERIENCE WITH THE MOLECULAR DISTANCE GEOMETRY PROBLEM 231
Chapter 10 Non Linear Optimization Models in Water Resource Systems 244
Chapter 11 SOLVING THE PHASE UNWRAPPING PROBLEM BY A PARAMETRIZED NETWORK OPTIMIZATION APPROACH 260
Chapter 12 Evolutionary Algorithms for Global Optimization 284
Chapter 13 DETERMINING 3- D STRUCTURE OF SPHERICAL VIRUSES BY GLOBAL OPTIMIZATION 318
Chapter 14 A COLLABORATIVE SOLUTION METHODOLOGY FOR INVERSE POSITION PROBLEM 347
Chapter 15 IMPROVED LEARNING OF NEURAL NETS THROUGH GLOBAL SEARCH 377
Chapter 16 EVOLUTIONARY APPROACH TO DESIGN ASSEMBLY LINES 405
Chapter 17 AGROECOSYSTEM MANAGEMENT 428
Chapter 18 FINDING THE MINIMAL ROOT OF AN EQUATION 455
Chapter 19 OPTIMIZATION OF RADIATION THERAPY DOSE DELIVERY WITH MULTIPLE STATIC COLLIMATION 475
Chapter 20 PARALLEL TRIANGULATED PARTITIONING FOR BLACK BOX OPTIMIZATION 500
Chapter 21 A CASE STUDY: COMPOSITE STRUCTURE DESIGN OPTIMIZATION 520
Chapter 22 Neural Network Enhanced Optimal Self- tuning Controller Design for Induction Motors 542

Produkt-Details

• Erscheint lt. Verlag: 13.10.2006
• Reihe/Serie: Nonconvex Optimization and Its Applications
• Reihe/Serie: Nonconvex Optimization and Its Applications
• Zusatzinfo: XXIII, 546 p.
• Verlagsort: New York
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Naturwissenschaften
• Themenwelt: Technik
• Schlagworte: algorithm • algorithms • Analysis • Artificial Neural Network • Bioinformatics • Data Analysis • Electrical Engineering • evolutionary algorithm • Global Optimization • Kinematics • linear optimization • mechanical engineering • Modeling • Models and methods • Optimization • Process Optimization • real-world applications • robot
• ISBN-10: 0-387-30927-6 / 0387309276
• ISBN-13: 978-0-387-30927-9 / 9780387309279