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Agent-Based Evolutionary Search
The performance of Evolutionary Algorithms can be enhanced by integrating the concept of agents. Agents and Multi-agents can bring many interesting features which are beyond the scope of traditional evolutionary process and learning. This book presents the state-of-the art in the theory and practice...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
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| Edición: | 1st ed. 2010. |
| Colección: | Adaptation, Learning, and Optimization,
5 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Agent Based Evolutionary Approach: An Introduction
- Multi-Agent Evolutionary Model for Global Numerical Optimization
- An Agent Based Evolutionary Approach for Nonlinear Optimization with Equality Constraints
- Multiagent-Based Approach for Risk Analysis in Mission Capability Planning
- Agent Based Evolutionary Dynamic Optimization
- Divide and Conquer in Coevolution: A Difficult Balancing Act
- Complex Emergent Behaviour from Evolutionary Spatial Animat Agents
- An Agent-Based Parallel Ant Algorithm with an Adaptive Migration Controller
- An Attempt to Stochastic Modeling of Memetic Systems
- Searching for the Effective Bidding Strategy Using Parameter Tuning in Genetic Algorithm
- PSO (Particle Swarm Optimization): One Method, Many Possible Applications
- VISPLORE: Exploring Particle Swarms by Visual Inspection.