Agent Based Evolutionary Search

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Agent Based Evolutionary Search

Agent based evolutionary search is an emerging paradigm in computational int- ligence offering the potential to conceptualize and solve a variety of complex .
Embarrassing question: What is an agentbased evolutionary algorithm?. . Self-learning could be based on local search techniques or rule based analysis.
This chapter investigates an agent based evolutionary search algorithm in which the agents are updated and co-evolve to track dynamic optimum by imitat- ing the exhibited feature of living organism. In the proposed algorithm, all agents live in a lattice like environment, where each agent is fixed on a lattice point.
Markov Chain Analysis of Agentbased Evolutionary Computing in Dynamic. . D. GoldbergGenetic Algorithms in Search, Optimization, and Machine Learning.
interaction mechanisms typical for agentbased systems (such. Based on this model a new evolutionary approach to search– ing for a global solution (in the .
AgentBased Evolutionary Search (Adaptation, Learning, and Optimization) [Ruhul A. Sarker, Tapabrata Ray] on Amazon.com. *FREE* shipping on qualifying .
The performance of Evolutionary Algorithms can be enhanced by integrating the concept of agents. Agents and Multi-agents can bring many interesting features .

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Agent Based Evolutionary Search

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Author by : Ruhul A. Sarker
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Release Date : 2010-07-12
Publisher by : Springer Science & Business Media







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Release Date : 2017-01-25
Publisher by : Springer







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Release Date : 2010-07-31
Publisher by : IGI Global







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Release Date : 2011-01-14
Publisher by : Springer Science & Business Media







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Release Date : 2012-05-31
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Release Date : 2017-01-25
Publisher by : Springer







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Release Date : 2007-05-18
Publisher by : Springer Science & Business Media







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