Emergence of the cooperative behavior using ADG; Automatically Defined Groups

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{hara:1999:EAADG,

• author = "Akira Hara and Tomoharu Nagao",
• title = "Emergence of the cooperative behavior using {ADG}; Automatically Defined Groups",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference",
• year = "1999",
• editor = "Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith",
• volume = "2",
• pages = "1039--1046",
• address = "Orlando, Florida, USA",
• publisher_address = "San Francisco, CA 94104, USA",
• month = "13-17 " # jul,
• publisher = "Morgan Kaufmann",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "1-55860-611-4",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco1999/GP-415.ps",
• URL = "http://www.ints.info.hiroshima-cu.ac.jp/~ahara/GECCO99.ps",
• size = "8 pages",
• abstract = "In producing a multi-agent team which solves problem cooperatively by means of Genetic Programming (GP), it seems that a heterogeneous team performs better than a homogeneous team. In a heterogeneous team, however, as the number of agents increases, the size of the search space becomes vast and the efficiency of search decreases. One of the solutions of this problem is to divide a team into the proper number of groups, and to provide the same program for the all agents belonging to the same group. However it is difficult to know the adequate team structure beforehand. In order to solve these we have proposed a method called Automatically Defined Groups. we applied this method to a simple transportation problem and a modified Tile World problem, and confirmed that the optimal team structure was acquired in each problem.",
• notes = "GECCO-99 A joint meeting of the eighth international conference on genetic algorithms (ICGA-99) and the fourth annual genetic programming conference (GP-99)",

}

Genetic Programming entries for Akira Hara Tomoharu Nagao

Citations