Multiphase Genetic Programming: A case Study in Sumo Maneuver Evolution

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@Article{LIU:2004:IJPRAI,

• author = "Jiming Liu and Shiwu Zhang",
• title = "Multiphase Genetic Programming: A case Study in Sumo Maneuver Evolution",
• journal = "International Journal of Pattern Recognition and Artificial Intelligence",
• year = "2004",
• volume = "18",
• number = "4",
• pages = "665--684",
• keywords = "genetic algorithms, genetic programming, Multiphase genetic programming (MPGP), sumo manoeuvre evolution, adaptive behaviour",
• DOI = "doi:10.1142/S0218001404003319",
• abstract = "In this paper, we describe a new evolutionary computation approach, called multiphase genetic programming (MPGP). The special features of this approach lie in its variable-granularity representations of chromosomes and their corresponding genetic operations. In the paper, we provide an overview of the MPGP approach as well as details on how the sumo manoeuvre evolution experiments are carried out and how the MPGP-based case study differs from others.",
• notes = "IJPRAI Partial results presented in this paper have been published in Jiming Liu and Shiwu Zhang, Multi-phase sumo maneuver learning, Robotica 22 (2004) 61-75, \cite{DBLP:journals/robotica/LiuZ04}",

}

Genetic Programming entries for Jiming Liu Shiwu Zhang

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