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...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2010.
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| Σειρά: | Adaptation, Learning, and Optimization,
5 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.