Embodied Evolution with a New Genetic Programming Variation Algorithm
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- @InProceedings{Perez:2008:ICAS,
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author = "Anderson Luiz Fernandes Perez and
Guilherme Bittencourt and Mauro Roisenberg",
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title = "Embodied Evolution with a New Genetic Programming
Variation Algorithm",
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booktitle = "Fourth International Conference on Autonomic and
Autonomous Systems, ICAS 2008",
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year = "2008",
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month = mar,
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pages = "118--123",
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keywords = "genetic algorithms, genetic programming, embodied
evolution, evolutionary algorithm, evolutionary control
system, evolutionary robotics, genetic programming
variation algorithm, mobile robot, mobile robots,
multi-robot systems",
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DOI = "doi:10.1109/ICAS.2008.31",
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abstract = "Embodied Evolution is a research area in Evolutionary
Robotics in which the evolutionary algorithm is
entirely decentralized among a population of robots.
Evaluation, selection and reproduction are carried out
by and between the robots, without any need for human
intervention. This paper describes a new Evolutionary
Control System (ECS) able to control a population of
mobile robots. The ECS is based on a Genetic
Programming algorithm and has two main modules. The
first one, called EMSS (Execution, Management and
Supervision System), is the system responsible for
managing all the evolutionary process in each robot.
The second module, called DGP (Distributed Genetic
Programming), is an extension of classical Genetic
Programming algorithm to support the robot control
system evolution. To test the DGP's performance a
simulation experiment, with the collision-free
navigation task, was accomplished and its results are
presented.",
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notes = "Also known as \cite{4488332}",
- }
Genetic Programming entries for
Anderson Luiz Fernandes Perez
Guilherme Bittencourt
Mauro Roisenberg
Citations