Ruhul A. Sarker, Tapabrata Ray, "Agent-Based Evolutionary Search"
Springer | 2010 | ISBN: 3642134246 | 291 pages | PDF | 4,9 MB
Springer | 2010 | ISBN: 3642134246 | 291 pages | PDF | 4,9 MB
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.
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