Ebook: 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 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.

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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. 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.

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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. 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.

Content:
Front Matter....Pages i-xxiii
A Global Optimization Strategy and Its Use in Solvent Design....Pages 1-31
Feeding Strategies for Maximising Gross Margin in Pig Production....Pages 33-43
Optimized Design of Dynamic Networks with Heuristic Algorithms....Pages 45-72
A New Smoothing-Based Global Optimization Algorithm for Protein Conformation Problems....Pages 73-102
Physical Perspectives on the Global Optimization of Atomic Clusters....Pages 103-139
Efficient Global Geometry Optimization of Atomic and Molecular Clusters....Pages 141-168
Computational Analysis of Human DNA Sequences: An Application of Artificial Neural Networks....Pages 169-180
Determination of a Laser Cavity Field Solution Using Global Optimization....Pages 181-212
Computational Experience with the Molecular Distance Geometry Problem....Pages 213-225
Non Linear Optimization Models in Water Resource Systems....Pages 227-242
Solving the Phase Unwrapping Problem by a Parametrized Network Optimization Approach....Pages 243-266
Evolutionary Algorithms for Global Optimization....Pages 267-300
Determining 3-D Structure of Spherical Viruses by Global Optimization....Pages 301-329
A Collaborative Solution Methodology for Inverse Position Problem....Pages 331-360
Improved Learning of Neural Nets Through Global Search....Pages 361-388
Evolutionary Approach to Design Assembly Lines....Pages 389-411
Agroecosystem Management....Pages 413-439
Finding the Minimal Root of an Equation....Pages 441-460
Optimization of Radiation Therapy Dose Delivery with Multiple Static Collimation....Pages 461-485
Parallel Triangulated Partitioning for Black Box Optimization....Pages 487-506
A Case Study: Composite Structure Design Optimization....Pages 507-528
Neural Network Enhanced Optimal Self-tuning Controller Design for Induction Motors....Pages 529-546

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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. 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.

Content:
Front Matter....Pages i-xxiii
A Global Optimization Strategy and Its Use in Solvent Design....Pages 1-31
Feeding Strategies for Maximising Gross Margin in Pig Production....Pages 33-43
Optimized Design of Dynamic Networks with Heuristic Algorithms....Pages 45-72
A New Smoothing-Based Global Optimization Algorithm for Protein Conformation Problems....Pages 73-102
Physical Perspectives on the Global Optimization of Atomic Clusters....Pages 103-139
Efficient Global Geometry Optimization of Atomic and Molecular Clusters....Pages 141-168
Computational Analysis of Human DNA Sequences: An Application of Artificial Neural Networks....Pages 169-180
Determination of a Laser Cavity Field Solution Using Global Optimization....Pages 181-212
Computational Experience with the Molecular Distance Geometry Problem....Pages 213-225
Non Linear Optimization Models in Water Resource Systems....Pages 227-242
Solving the Phase Unwrapping Problem by a Parametrized Network Optimization Approach....Pages 243-266
Evolutionary Algorithms for Global Optimization....Pages 267-300
Determining 3-D Structure of Spherical Viruses by Global Optimization....Pages 301-329
A Collaborative Solution Methodology for Inverse Position Problem....Pages 331-360
Improved Learning of Neural Nets Through Global Search....Pages 361-388
Evolutionary Approach to Design Assembly Lines....Pages 389-411
Agroecosystem Management....Pages 413-439
Finding the Minimal Root of an Equation....Pages 441-460
Optimization of Radiation Therapy Dose Delivery with Multiple Static Collimation....Pages 461-485
Parallel Triangulated Partitioning for Black Box Optimization....Pages 487-506
A Case Study: Composite Structure Design Optimization....Pages 507-528
Neural Network Enhanced Optimal Self-tuning Controller Design for Induction Motors....Pages 529-546
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