Computational Optimization and Applications in Engineering and Industry
Contemporary design in engineering and industry relies heavily on computer simulation and efficient algorithms to reduce the cost and to maximize the performance and sustainability as well as profits and energy efficiency. Solving an optimization problem correctly and efficiently requires not only t...
Shranjeno v:
| Glavni avtor: | |
|---|---|
| Drugi avtorji: | |
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Izdaja: | 1st ed. 2011. |
| Serija: | Studies in Computational Intelligence
359 |
| Online dostop: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Sporočilo: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Computational Optimization and Applications in Engineering and Industry, Texte imprimé, 9783642209857 • Computational Optimization and Applications in Engineering and Industry, Texte imprimé, 9783642268847 • Computational Optimization and Applications in Engineering and Industry, Texte imprimé, 9783642209857 • Computational Optimization and Applications in Engineering and Industry, Texte imprimé, 9783642209871 |
Kazalo:
- Adjoint-Based Control of Model and Discretization Errors for Gas and Water Supply Networks Derivative-Free Optimization for Oil Field Operations Simulation-Driven Design in Microwave Engineering: Application Case Studies Airfoil Shape Optimization Using Variable-Fidelity Modeling and Shape-Preserving Response Prediction Evolutionary Optimisation Techniques to Estimate Input Parameters in Environmental Emergency Modelling Harmony Search Algorithms in Structural Engineering Waveform Optimization for Integrated Radar and Communication Systems Using Meta-Heuristic Algorithms Parameter Estimation from Laser Flash Experiment Data Applications of Computational Intelligence in Behavior Simulation A New Approach to Network Optimization Using Chaos-Genetic Algorithm