Behavior generation for a mobile robot based on the adaptive fitness function
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{Uchibe:2002:RAS,
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author = "Eiji Uchibe and Masakazu Yanase and Minoru Asada",
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title = "Behavior generation for a mobile robot based on the
adaptive fitness function",
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journal = "Robotics and Autonomous Systems",
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year = "2002",
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volume = "40",
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pages = "69--77",
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number = "2-3",
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owner = "wlangdon",
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URL = "http://www.sciencedirect.com/science/article/B6V16-460M7KP-1/2/e4f9df58e7ab6e0403221cb825b818f4",
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keywords = "genetic algorithms, genetic programming, Behaviour
acquisition, Adaptive fitness function, Multiple
optimization problem, RoboCup",
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DOI = "doi:10.1016/S0921-8890(02)00232-4",
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abstract = "We have to prepare the evaluation (fitness) function
to evaluate the performance of the robot when we apply
the machine learning techniques to the robot
application. In many cases, the fitness function is
composed of several aspects. Simple implementation to
cope with the multiple fitness functions is a weighted
summation. This paper presents an adaptive fitness
function for the evolutionary computation to obtain the
purposive behaviours through changing the weights for
the fitness function. As an example task, a basic
behavior in a simplified soccer game (shooting a ball
into the opponent goal) is selected to show the
validity of the adaptive fitness function. Simulation
results and real experiments are shown, and a
discussion is given.",
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notes = "See also \cite{Uchibe:2000:IAS}",
- }
Genetic Programming entries for
Eiji Uchibe
Masakazu Yanase
Minoru Asada
Citations