An Embodied Evolutionary System to Control a Population of Mobile Robots using Genetic Programming

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@Misc{oai:CiteSeerX.psu:10.1.1.453.2194,

• title = "An Embodied Evolutionary System to Control a Population of Mobile Robots using Genetic Programming",
• author = "Anderson Luiz {Fernandes Perez} and Guilherme Bittencourt and Mauro Roisenberg",
• keywords = "genetic algorithms, genetic programming, evolutionary robotic, distributed genetic programming, embodied evolutionary system",
• annote = "The Pennsylvania State University CiteSeerX Archives",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.453.2194",
• rights = "Metadata may be used without restrictions as long as the oai identifier remains attached to it.",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.453.2194",
• URL = "http://www.das.ufsc.br/~gb/publications05-07/asai07.pdf",
• size = "10 pages",
• abstract = "In this paper, an embodied evolutionary system, able to control a population of mobile robots, is proposed. This system should be able to execute tasks such as collision-free navigation, box pushing and predator and prey. The proposed system has the following characteristics: i) it extends the traditional genetic programming algorithm to allow the evolution in a population of physical robots; ii) the evolutionary process occurs in an asynchronously way among the robots in the population; iii) it is fail-safe, because it allows the continuation of the evolutionary process even if only one robot remains in the population of robots; iv) it saves the information about the more adapted individuals in a kind of memory; v) it has an execution and management environment that is independent of the evolutionary process.",
• notes = "2007? The 36th International Conference of the Argentine Computer Science and Operational Research Society, Mar del Plata, Argentina 2007?",

}

Genetic Programming entries for Anderson Luiz Fernandes Perez Guilherme Bittencourt Mauro Roisenberg

Citations