An Evolutionary Framework for Multi-agent Organizations
Created by W.Langdon from
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- @InProceedings{Li:2015:WI-IAT,
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author = "Boyang Li and Han Yu and Zhiqi Shen and Lizhen Cui and
Victor R. Lesser",
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booktitle = "2015 IEEE/WIC/ACM International Conference on Web
Intelligence and Intelligent Agent Technology
(WI-IAT)",
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title = "An Evolutionary Framework for Multi-agent
Organizations",
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year = "2015",
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volume = "2",
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pages = "35--38",
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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.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/WI-IAT.2015.45",
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month = dec,
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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