Foundations of Computational Intelligence Volume 3 : Global Optimization /
| Autor Corporativo: | |
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| Otros Autores: | , , , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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| Edición: | 1st ed. 2009. |
| Colección: | Studies in Computational Intelligence,
203 |
| Materias: |
Tabla de Contenidos:
- 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.