Evolutionary organizational search

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{conf/atal/LiYSM09,

• author = "Boyang Li and Han Yu and Zhiqi Shen and Chunyan Miao",
• title = "Evolutionary organizational search",
• booktitle = "8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009)",
• year = "2009",
• editor = "Carles Sierra and Cristiano Castelfranchi and Keith S. Decker and Jaime Sim{\~a}o Sichman",
• volume = "2",
• pages = "1329--1330",
• address = "Budapest, Hungary",
• month = may # " 10-15",
• publisher = "IFAAMAS",
• note = "Extended Abstract",
• keywords = "genetic algorithms, genetic programming, Poster, Experimental, Systems, Biologically-Inspired Approaches, Organizational Planning, Multi-Agent Systems",
• isbn13 = "978-0-9817381-7-8",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• bib_url = "https://dblp.org/rec/conf/atal/LiYSM09.html?view=bibtex",
• contributor = "CiteSeerX",
• language = "en",
• oai = "oai:CiteSeerXPSU:10.1.1.149.4762",
• URL = "http://www.ifaamas.org/Proceedings/aamas09/pdf/02_Extended_Abstract/D_SP_0876.pdf",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.4762",
• URL = "https://dl.acm.org/doi/10.5555/1558109.1558277",
• size = "2 pages",
• 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.",
• 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