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 techniq...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Boston, MA :
Springer US,
2006.
|
Σειρά: | Nonconvex Optimization and Its Applications,
85 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- A Global Optimization Strategy and Its Use in Solvent Design
- Feeding Strategies for Maximising Gross Margin in Pig Production
- Optimized Design of Dynamic Networks with Heuristic Algorithms
- A New Smoothing-Based Global Optimization Algorithm for Protein Conformation Problems
- Physical Perspectives on the Global Optimization of Atomic Clusters
- Efficient Global Geometry Optimization of Atomic and Molecular Clusters
- Computational Analysis of Human DNA Sequences: An Application of Artificial Neural Networks
- Determination of a Laser Cavity Field Solution Using Global Optimization
- Computational Experience with the Molecular Distance Geometry Problem
- Non Linear Optimization Models in Water Resource Systems
- Solving the Phase Unwrapping Problem by a Parametrized Network Optimization Approach
- Evolutionary Algorithms for Global Optimization
- Determining 3-D Structure of Spherical Viruses by Global Optimization
- A Collaborative Solution Methodology for Inverse Position Problem
- Improved Learning of Neural Nets Through Global Search
- Evolutionary Approach to Design Assembly Lines
- Agroecosystem Management
- Finding the Minimal Root of an Equation
- Optimization of Radiation Therapy Dose Delivery with Multiple Static Collimation
- Parallel Triangulated Partitioning for Black Box Optimization
- A Case Study: Composite Structure Design Optimization
- Neural Network Enhanced Optimal Self-tuning Controller Design for Induction Motors.