Innovative Computing Methods and Their Applications to Engineering Problems
The design of most modern engineering systems entails the consideration of a good trade-off between the several targets requirements to be satisfied along the system life such as high reliability, low redundancy and low operational costs. These aspects are often in conflict with one another, hence a...
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| Outros Autores: | , , , |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edição: | 1st ed. 2011. |
| coleção: | Studies in Computational Intelligence
357 |
| Acesso em linha: | 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: | • Innovative Computing Methods and Their Applications to Engineering Problems, Texte imprimé, 9783642268366 • Innovative Computing Methods and Their Applications to Engineering Problems, Texte imprimé, 9783642209598 • Innovative Computing Methods and Their Applications to Engineering Problems, Texte imprimé, 9783642209574 • Innovative Computing Methods and their Applications to Engineering Problems, Texte imprimé, 9783642268366 • Innovative Computing Methods and their Applications to Engineering Problems, Texte imprimé, 9783642209598 • Innovative Computing Methods and their Applications to Engineering Problems, Texte imprimé, 9783642209574 |
Sumário:
- 1- A discrete differential evolution approach with local search for traveling salesman problems 2- Genetic Algorithm based Reliability Optimization in Interval Environment 3- PSO for Building Fuzzy Systems 4- Maintenance optimization of wind turbine systems based on intelligent prediction tools 5- Clonal selection algorithm applied to economic dispatch optimization of electrical energy 6- Dynamic Objectives Aggregation Methods in Multi-objective Evolutionary Optimization 7- Application Mapping for Efficient NoC-based Implementation using Evolutionary Multi-objective Optimization 8- Theory and Applications of Chaotic Optimization Methods.