An Evolutionary Framework for Multi-agent Organizations

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@InProceedings{Li:2015:WI-IAT,

• author = "Boyang Li and Han Yu and Zhiqi Shen and Lizhen Cui and Victor R. Lesser",
• booktitle = "2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)",
• title = "An Evolutionary Framework for Multi-agent Organizations",
• year = "2015",
• volume = "2",
• pages = "35--38",
• abstract = "The organizational design of a multi-agent system (MAS) is important for its efficiency, adaptability and robustness. However, finding suitable organizational structures for different MASs is a challenging problem. In this paper, we propose a Framework of Evolutionary Optimisation for Agent Organizations (FEVOR) based on Genetic Programming for optimising tree-structured MASs. FEVOR employs a flexible representation of organizations and may be applied to a wide range of organizational forms such as pure hierarchies, holarchies, and federations. Compared to existing work, FEVOR is capable of efficient quantitative search and less vulnerable to stalling at local optima due to its non-greedy nature. Extensive experiments for optimising an information retrieval system have been conducted to demonstrate the advantages of FEVOR in generating suitable MAS organizations for adaptive environments.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/WI-IAT.2015.45",
• month = dec,
• notes = "Georgia Inst. of Technol., Atlanta, GA, USA Also known as \cite{7397312}",

}

Genetic Programming entries for Boyang Li Han Yu Zhiqi Shen Lizhen Cui Victor R Lesser

Citations