<p><P>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. </P><P>This book presents the state-of-the art in the theory
Agent-Based Evolutionary Search
β Scribed by Ruhul A. Sarker, Tapabrata Ray (auth.), Ruhul Amin Sarker, Tapabrata Ray (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2010
- Tongue
- English
- Leaves
- 292
- Series
- Adaptation, Learning, and Optimization 5
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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 of Agent Based Evolutionary Search and aims to increase the awareness on this effective technology. This includes novel frameworks, a convergence and complexity analysis, as well as real-world applications of Agent Based Evolutionary Search, a design of multi-agent architectures and a design of agent communication and learning Strategy.
β¦ Table of Contents
Front Matter....Pages -
Agent Based Evolutionary Approach: An Introduction....Pages 1-11
Multi-Agent Evolutionary Model for Global Numerical Optimization....Pages 13-48
An Agent Based Evolutionary Approach for Nonlinear Optimization with Equality Constraints....Pages 49-76
Multiagent-Based Approach for Risk Analysis in Mission Capability Planning....Pages 77-96
Agent Based Evolutionary Dynamic Optimization....Pages 97-116
Divide and Conquer in Coevolution: A Difficult Balancing Act....Pages 117-138
Complex Emergent Behaviour from Evolutionary Spatial Animat Agents....Pages 139-159
An Agent-Based Parallel Ant Algorithm with an Adaptive Migration Controller....Pages 161-177
An Attempt to Stochastic Modeling of Memetic Systems....Pages 179-202
Searching for the Effective Bidding Strategy Using Parameter Tuning in Genetic Algorithm....Pages 203-228
PSO (Particle Swarm Optimization): One Method, Many Possible Applications....Pages 229-254
VISPLORE : Exploring Particle Swarms by Visual Inspection....Pages 255-284
Back Matter....Pages -
β¦ Subjects
Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics); Applications of Mathematics
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