Evolutionary organizational search
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{conf/atal/LiYSM09,
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author = "Boyang Li and Han Yu and Zhiqi Shen and Chunyan Miao",
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title = "Evolutionary organizational search",
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booktitle = "8th International Joint Conference on Autonomous
Agents and Multiagent Systems (AAMAS 2009)",
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year = "2009",
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editor = "Carles Sierra and Cristiano Castelfranchi and
Keith S. Decker and Jaime Sim{\~a}o Sichman",
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volume = "2",
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pages = "1329--1330",
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address = "Budapest, Hungary",
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month = may # " 10-15",
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publisher = "IFAAMAS",
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note = "Extended Abstract",
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keywords = "genetic algorithms, genetic programming, Poster,
Experimental, Systems, Biologically-Inspired
Approaches, Organizational Planning, Multi-Agent
Systems",
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isbn13 = "978-0-9817381-7-8",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
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bib_url = "https://dblp.org/rec/conf/atal/LiYSM09.html?view=bibtex",
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contributor = "CiteSeerX",
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language = "en",
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oai = "oai:CiteSeerXPSU:10.1.1.149.4762",
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URL = "http://www.ifaamas.org/Proceedings/aamas09/pdf/02_Extended_Abstract/D_SP_0876.pdf",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.4762",
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URL = "https://dl.acm.org/doi/10.5555/1558109.1558277",
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size = "2 pages",
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abstract = "In this paper, we proposed Evolutionary Organizational
Search (EOS), an optimization method for the
organizational control of multi-agent systems (MASs)
based on genetic programming (GP). EOS adds to the
existing armory a metaheuristic extension, which is
capable of efficient search and less vulnerable to
stalling at local optima than greedy methods due to its
stochastic nature. EOS employs a flexible genotype
which can be applied to a wide range of tree-shaped
organizational forms. EOS also considers special
constraints of MASs. A novel mutation operator, the
redistribution operator, was proposed. Experiments
optimizing an information retrieval system illustrated
the adaptation of solutions generated by EOS to
environmental changes.",
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notes = "broken May 2022 Poster:
http://www3.ntu.edu.sg/home/BYLI/paper/aamas_poster.pdf",
- }
Genetic Programming entries for
Boyang Li
Han Yu
Zhiqi Shen
Chunyan Miao
Citations