Global Optimization: Scientific and Engineering Case Studies

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János D. Pintér
Springer Science & Business Media, Oct 13, 2006 - Mathematics - 546 pages
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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.

 

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Contents

A GLOBAL OPTIMIZATION STRATEGY AND ITS USE IN SOLVENT DESIGN
1
FEEDING STRATEGIES FOR MAXIMISING GROSS MARGIN IN PIG PRODUCTION
32
OPTIMIZED DESIGN OF DYNAMIC NETWORKS WITH HEURISTIC ALGORITHMS
45
A NEW SMOOTHINGBASED GLOBAL OPTIMIZATION ALGORITHM FOR PROTEIN CONFORMATION PROBLEMS
73
PHYSICAL PERSPECTIVES ON THE GLOBAL OPTIMIZATION OF ATOMIC CLUSTERS
103
EFFICIENT GLOBAL GEOMETRY OPTIMIZATION OF ATOMIC AND MOLECULAR CLUSTERS
140
COMPUTATIONAL ANALYSIS OF HUMAN DNA SEQUENCES AN APPLICATION OF ARTIFICIAL NEURAL NETWORKS
169
DETERMINATION OF A LASER CAVITY FIELD SOLUTION USING GLOBAL OPTIMIZATION
181
DETERMINING 3D STRUCTURE OF SPHERICAL VIRUSES BY GLOBAL OPTIMIZATION
301
A COLLABORATIVE SOLUTION METHODOLOGY FOR INVERSE POSITION PROBLEM
331
IMPROVED LEARNING OF NEURAL NETS THROUGH GLOBAL SEARCH
361
EVOLUTIONARY APPROACH TO DESIGN ASSEMBLY LINES
389
AGROECOSYSTEM MANAGEMENT
412
FINDING THE MINIMAL ROOT OF AN EQUATION Applications and algorithms based on Lipschitz condition
441
OPTIMIZATION OF RADIATION THERAPY DOSE DELIVERY WITH MULTIPLE STATIC COLLIMATION
461
PARALLEL TRIANGULATED PARTITIONING FOR BLACK BOX OPTIMIZATION
486

COMPUTATIONAL EXPERIENCE WITH THE MOLECULAR DISTANCE GEOMETRY PROBLEM
213
Non Linear Optimization Models in Water Resource Systems
226
SOLVING THE PHASE UNWRAPPING PROBLEM BY A PARAMETRIZED NETWORK OPTIMIZATION APPROACH
243
Evolutionary Algorithms for Global Optimization
267
A CASE STUDY COMPOSITE STRUCTURE DESIGN OPTIMIZATION
507
Neural Network Enhanced Optimal Selftuning Controller Design for Induction Motors
529
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