Agent-Based Evolutionary Search

by Sarker, Ruhul Amin; Ray, Tapabrata

• ISBN13: 9783642134241
• ISBN10: 3642134246
• Format: Hardcover
• Copyright: 2010-07-18
• Publisher: Springer-Verlag New York Inc

Summary

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.

Table of Contents

Agent Based Evolutionary Approach: An Introduction	p. 1
Multi-Agent Evolutionary Model for Global Numerical Optimization	p. 13
An Agent Based Evolutionary Approach for Nonlinear Optimization with Equality Constraints	p. 49
Multiagent-Based Approach for Risk Analysis in Mission Capability Planning	p. 77
Agent Based Evolutionary Dynamic Optimization	p. 97
Divide and Conquer in Coevolution: A Difficult Balancing Act	p. 117
Complex Emergent Behaviour from Evolutionary Spatial Animat Agents	p. 139
An Agent-Based Parallel Ant Algorithm with an Adaptive Migration Controller	p. 161
An Attempt to Stochastic Modeling of Memetic Systems	p. 179
Searching for the Effective Bidding Strategy Using Parameter Tuning in Genetic Algorithm	p. 203
PSO (Particle Swarm Optimization): One Method, Many Possible Applications	p. 229
VISPLORE: Exploring Particle Swarms by Visual Inspection	p. 255
Index	p. 285
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