Computational Optimization, Methods and Algorithms
Computational optimization is an important paradigm with a wide range of applications. In virtually all branches of engineering and industry, we almost always try to optimize something - whether to minimize the cost and energy consumption, or to maximize profits, outputs, performance and efficiency....
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2011.
|
| Σειρά: | Studies in Computational Intelligence,
356 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Computational Optimization: An Overview
- Optimization Algorithms
- Surrogate-Based Methods
- Derivative-Free Optimization
- Maximum Simulated Likelihood Estimation: Techniques and Applications in Economics
- Optimizing Complex Multi-Location Inventory Models Using Particle Swarm Optimization
- Traditional and Hybrid Derivative-Free Optimization Approaches for Black Box Functions
- Simulation-Driven Design in Microwave Engineering: Methods
- Variable-Fidelity Aerodynamic Shape Optimization
- Evolutionary Algorithms Applied to Multi-Objective Aerodynamic Shape Optimization
- An Enhanced Support Vector Machines Model for Classification and Rule Generation
- Benchmark Problems in Structural Optimization.
