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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Pintér, János D. (Επιμελητής έκδοσης)
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.