Cargando…
Evolutionary Computation in Dynamic and Uncertain Environments
This book provides a compilation on the state-of-the-art and recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The motivation for this book arises from the fact that some degree of uncertainty in characterizing any realistic engineering syst...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2007.
|
| Edición: | 1st ed. 2007. |
| Colección: | Studies in Computational Intelligence,
51 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Optimum Tracking in Dynamic Environments
- Explicit Memory Schemes for Evolutionary Algorithms in Dynamic Environments
- Particle Swarm Optimization in Dynamic Environments
- Evolution Strategies in Dynamic Environments
- Orthogonal Dynamic Hill Climbing Algorithm: ODHC
- Genetic Algorithms with Self-Organizing Behaviour in Dynamic Environments
- Learning and Anticipation in Online Dynamic Optimization
- Evolutionary Online Data Mining: An Investigation in a Dynamic Environment
- Adaptive Business Intelligence: Three Case Studies
- Evolutionary Algorithms for Combinatorial Problems in the Uncertain Environment of the Wireless Sensor Networks
- Approximation of Fitness Functions
- Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade Optimization
- Evolutionary Shape Optimization Using Gaussian Processes
- A Study of Techniques to Improve the Efficiency of a Multi-Objective Particle Swarm Optimizer
- An Evolutionary Multi-objective Adaptive Meta-modeling Procedure Using Artificial Neural Networks
- Surrogate Model-Based Optimization Framework: A Case Study in Aerospace Design
- Handling Noisy Fitness Functions
- Hierarchical Evolutionary Algorithms and Noise Compensation via Adaptation
- Evolving Multi Rover Systems in Dynamic and Noisy Environments
- A Memetic Algorithm Using a Trust-Region Derivative-Free Optimization with Quadratic Modelling for Optimization of Expensive and Noisy Black-box Functions
- Genetic Algorithm to Optimize Fitness Function with Sampling Error and its Application to Financial Optimization Problem
- Search for Robust Solutions
- Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty
- Evolving the Tradeoffs between Pareto-Optimality and Robustness in Multi-Objective Evolutionary Algorithms
- Evolutionary Robust Design of Analog Filters Using Genetic Programming
- Robust Salting Route Optimization Using Evolutionary Algorithms
- An Evolutionary Approach For Robust Layout Synthesis of MEMS
- A Hybrid Approach Based on Evolutionary Strategies and Interval Arithmetic to Perform Robust Designs
- An Evolutionary Approach for Assessing the Degree of Robustness of Solutions to Multi-Objective Models
- Deterministic Robust Optimal Design Based on Standard Crowding Genetic Algorithm.