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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....
| Call Number: | Libro Electrónico |
|---|---|
| Corporate Author: | |
| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2011.
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| Edition: | 1st ed. 2011. |
| Series: | Studies in Computational Intelligence,
356 |
| Subjects: | |
| Online Access: | Texto Completo |
Table of Contents:
- 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.