Dynamic Flies: Using Real-Time Parisian Evolution in Robotics

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{Boumaza:2001:EvoWorks,

• author = "Amine M. Boumaza and Jean Louchet",
• title = "Dynamic Flies: Using Real-Time Parisian Evolution in Robotics",
• booktitle = "Applications of Evolutionary Computing",
• year = "2001",
• editor = "Egbert J. W. Boers and Stefano Cagnoni and Jens Gottlieb and Emma Hart and Pier Luca Lanzi and Gunther R. Raidl and Robert E. Smith and Harald Tijink",
• volume = "2037",
• series = "LNCS",
• pages = "288--297",
• address = "Lake Como, Italy",
• publisher_address = "Berlin",
• month = "18 " # apr,
• organisation = "EvoNET",
• publisher = "Springer-Verlag",
• note = "best paper award",
• keywords = "genetic algorithms, genetic programming, fly algorithm, robot",
• ISBN = "3-540-41920-9",
• DOI = "doi:10.1007/3-540-45365-2_30",
• abstract = "The Fly algorithm is a Parisian evolution strategy devised for parameter space exploration in computer vision applications, which has been applied to stereovision. The resulting scene model is a set of 3-D points which concentrate upon the surfaces of obstacles. In this paper, we present how the evolutionary scene analysis can be continuously updated and integrated into a specific real-time mobile robot navigation system. Simulation-based experimental results are presented.",
• notes = "EvoWorkshops2001",

}

Genetic Programming entries for Amine M Boumaza Jean Louchet

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