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...
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| Other Authors: | , |
| Format: | Electronic |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2010.
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| Series: | Adaptation, Learning, and Optimization,
5 |
| Subjects: | |
| Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-13425-8 |
Table of Contents:
- Agent Based Evolutionary Search: 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.