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...
Guardado en:
| Autor principal: | |
|---|---|
| Otros Autores: | |
| Formato: | Livre numérique |
| Lenguaje: | Anglais |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edición: | 1st ed. 2011. |
| Colección: | Studies in Computational Intelligence
359 |
| Acceso en línea: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
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 |
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| 100 | 1 | |a Yang, Xin-She, |d 19..- | |
| 245 | 1 | 0 | |a Computational Optimization and Applications in Engineering and Industry |c edited by Xin-She Yang, Slawomir Koziel. |
| 250 | |a 1st ed. 2011. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 359 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 the right choice of optimization algorithms and simulation methods, but also the proper implementation and insight into the problem of interest. This book consists of ten self-contained, detailed case studies of real-world optimization problems, selected from a wide range of applications and contributed from worldwide experts who are working in these exciting areas. Optimization topics and applications include gas and water supply networks, oil field production optimization, microwave engineering, aerodynamic shape design, environmental emergence modelling, structural engineering, waveform design for radar and communication systems, parameter estimation in laser experiment and measurement, engineering materials and network scheduling. These case studies have been solved using a wide range of optimization techniques, including particle swarm optimization, genetic algorithms, artificial bee colony, harmony search, adaptive error control, derivative-free pattern search, surrogate-based optimization, variable-fidelity modelling, as well as various other methods and approaches. This book is a practical guide to help graduates and researchers to carry out optimization for real-world applications. More advanced readers will also find it a helpful reference and aide memoire | ||
| 700 | 1 | |a Koziel, Slawomir. |4 pbd | |
| 776 | 0 | |t Computational Optimization and Applications in Engineering and Industry |b Texte imprimé |z 9783642209857 | |
| 776 | 0 | |t Computational Optimization and Applications in Engineering and Industry |b Texte imprimé |z 9783642268847 | |
| 776 | 0 | |t Computational Optimization and Applications in Engineering and Industry |b Texte imprimé |z 9783642209857 | |
| 776 | 0 | |t Computational Optimization and Applications in Engineering and Industry |b Texte imprimé |z 9783642209871 | |
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