Evolving Vision Controllers with a Two-Phase Genetic Programming System Using Imitation

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@InProceedings{DBLP:conf/sab/BarateM08,

• author = "Renaud Barate and Antoine Manzanera",
• title = "Evolving Vision Controllers with a Two-Phase Genetic Programming System Using Imitation",
• booktitle = "From Animals to Animats 10, Proceedings of the 10th International Conference on Simulation of Adaptive Behavior, SAB 2008",
• year = "2008",
• editor = "Minoru Asada and John C. T. Hallam and Jean-Arcady Meyer and Jun Tani",
• series = "Lecture Notes in Computer Science",
• volume = "5040",
• pages = "73--82",
• address = "Osaka, Japan",
• month = jul # " 7-12",
• publisher = "Springer",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-540-69133-4",
• DOI = "doi:10.1007/978-3-540-69134-1_8",
• abstract = "We present a system that automatically selects and parameterises a vision based obstacle avoidance method adapted to a given visual context. This system uses genetic programming and a robotic simulation to evaluate the candidate algorithms. As the number of evaluations is restricted, we introduce a novel method using imitation to guide the evolution toward promising solutions. We show that for this problem, our two-phase evolution process performs better than other techniques.",
• notes = "part of \cite{DBLP:conf/sab/2008}",
• notes = "From Animals to Animats 10",

}

Genetic Programming entries for Renaud Barate Antoine Manzanera

Citations