E-Book, Englisch, Band 85, 546 Seiten
Pintér Global Optimization
2006
ISBN: 978-0-387-30927-9
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
Scientific and Engineering Case Studies
E-Book, Englisch, Band 85, 546 Seiten
Reihe: Nonconvex Optimization and Its Applications
ISBN: 978-0-387-30927-9
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Autoren/Hrsg.
Weitere Infos & Material
1;Contents;7
2;Preface;9
3;Acknowledgments;22
4;Chapter 1 A GLOBAL OPTIMIZATION STRATEGY AND ITS USE IN SOLVENT DESIGN;23
5;Chapter 2 FEEDING STRATEGIES FOR MAXIMISING GROSS MARGIN IN PIG PRODUCTION;54
6;Chapter 3 OPTIMIZED DESIGN OF DYNAMIC NETWORKS WITH HEURISTIC ALGORITHMS;65
7;Chapter 4 A NEW SMOOTHING- BASED GLOBAL OPTIMIZATION ALGORITHM FOR PROTEIN CONFORMATION PROBLEMS;93
8;Chapter 5 PHYSICAL PERSPECTIVES ON THE GLOBAL OPTIMIZATION OF ATOMIC CLUSTERS;123
9;Chapter 6 EFFICIENT GLOBAL GEOMETRY OPTIMIZATION OF ATOMIC AND MOLECULAR CLUSTERS;160
10;Chapter 7 COMPUTATIONAL ANALYSIS OF HUMAN DNA SEQUENCES: AN APPLICATION OF ARTIFICIAL NEURAL NETWORKS.;187
11;Chapter 8 DETERMINATION OF A LASER CAVITY FIELD SOLUTION USING GLOBAL OPTIMIZATION;199
12;Chapter 9 COMPUTATIONAL EXPERIENCE WITH THE MOLECULAR DISTANCE GEOMETRY PROBLEM;231
13;Chapter 10 Non Linear Optimization Models in Water Resource Systems;244
14;Chapter 11 SOLVING THE PHASE UNWRAPPING PROBLEM BY A PARAMETRIZED NETWORK OPTIMIZATION APPROACH;260
15;Chapter 12 Evolutionary Algorithms for Global Optimization;284
16;Chapter 13 DETERMINING 3- D STRUCTURE OF SPHERICAL VIRUSES BY GLOBAL OPTIMIZATION;318
17;Chapter 14 A COLLABORATIVE SOLUTION METHODOLOGY FOR INVERSE POSITION PROBLEM;347
18;Chapter 15 IMPROVED LEARNING OF NEURAL NETS THROUGH GLOBAL SEARCH;377
19;Chapter 16 EVOLUTIONARY APPROACH TO DESIGN ASSEMBLY LINES;405
20;Chapter 17 AGROECOSYSTEM MANAGEMENT;428
21;Chapter 18 FINDING THE MINIMAL ROOT OF AN EQUATION ;455
22;Chapter 19 OPTIMIZATION OF RADIATION THERAPY DOSE DELIVERY WITH MULTIPLE STATIC COLLIMATION;475
23;Chapter 20 PARALLEL TRIANGULATED PARTITIONING FOR BLACK BOX OPTIMIZATION;500
24;Chapter 21 A CASE STUDY: COMPOSITE STRUCTURE DESIGN OPTIMIZATION;520
25;Chapter 22 Neural Network Enhanced Optimal Self- tuning Controller Design for Induction Motors;542
