Foundations of computational intelligence. Volume 3, Global optimization
Global optimization is a branch of applied mathematics and numerical analysis that deals with the task of finding the absolutely best set of admissible conditions to satisfy certain criteria / objective function(s), formulated in mathematical terms. Global optimization includes nonlinear, stochastic...
Enregistré dans:
| Autres auteurs: | , , , , |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2009. |
| Collection: | Studies in Computational Intelligence
203 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Foundations of computational intelligence, Volume 3, Global optimization, Aboul-Ella Hassanien, Ajith Abraham, Athanasios V. Vasilakos and Witold Pedrycz (eds), Berlin Heidelberg, Springer, 2009, 1 vol. (XII-526 p.), Studies in computational intelligence, 978-3-642-01084-2 • Foundations of Computational Intelligence Volume 3, Texte imprimé, 9783642010866 • Foundations of Computational Intelligence Volume 3, Texte imprimé, 9783642101656 • Foundations of computational intelligence, Volume 3, Global optimization, Aboul-Ella Hassanien, Ajith Abraham, Athanasios V. Vasilakos and Witold Pedrycz (eds), Berlin Heidelberg, Springer, 2009, 1 vol. (XII-526 p.), Studies in computational intelligence, 978-3-642-01084-2 |
Table des matières:
- Global Optimization Algorithms: Theoretical Foundations and Perspectives Genetic Algorithms for the Use in Combinatorial Problems Bacterial Foraging Optimization Algorithm: Theoretical Foundations, Analysis, and Applications Global Optimization Using Harmony Search: Theoretical Foundations and Applications Hybrid GRASP Heuristics Particle Swarm Optimization: Performance Tuning and Empirical Analysis Tabu Search to Solve Real-Life Combinatorial Optimization Problems: A Case of Study Reformulations in Mathematical Programming: A Computational Approach Graph-Based Local Elimination Algorithms in Discrete Optimization Evolutionary Approach to Solving Non-stationary Dynamic Multi-Objective Problems Turbulent Particle Swarm Optimization Using Fuzzy Parameter Tuning Global Optimization Algorithms: Applications An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy Evolutionary Computing in Statistical Data Analysis Meta-heuristics for System Design Engineering Transgenetic Algorithm: A New Endosymbiotic Approach for Evolutionary Algorithms Multi-objective Team Forming Optimization for Integrated Product Development Projects Genetic Algorithms for Task Scheduling Problem PSO_Bounds: A New Hybridization Technique of PSO and EDAs

