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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer US : Imprint: Springer,
2006.
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| Edición: | 1st ed. 2006. |
| Colección: | Nonconvex Optimization and Its Applications ;
85 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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.