Swing Up and Balance Control of the Acrobot Solved by Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{conf/sgai/DracopoulosN12,
-
author = "Dimitris C. Dracopoulos and Barry D. Nichols",
-
title = "Swing Up and Balance Control of the Acrobot Solved by
Genetic Programming",
-
booktitle = "Research and Development in Intelligent Systems
{XXIX}, Incorporating Applications and Innovations in
Intelligent Systems {XX}: Proceedings of {AI}-2012, The
Thirty-second {SGAI} International Conference on
Innovative Techniques and Applications of Artificial
Intelligence",
-
year = "2012",
-
editor = "Max Bramer and Miltos Petridis",
-
pages = "229--242",
-
address = "Cambridge, UK",
-
month = dec # " 11-13",
-
publisher = "Springer",
-
note = "Best Application Paper",
-
keywords = "genetic algorithms, genetic programming",
-
isbn13 = "978-1-4471-4738-1",
-
URL = "https://westminsterresearch.westminster.ac.uk/item/8z246/swing-up-and-balance-control-of-the-acrobot-solved-by-genetic-programming",
-
URL = "https://eprints.mdx.ac.uk/id/eprint/17065",
-
URL = "http://dx.doi.org/10.1007/978-1-4471-4739-8_19",
-
DOI = "doi:10.1007/978-1-4471-4739-8_19",
-
bibdate = "2013-01-22",
-
bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/sgai/sgai2012.html#DracopoulosN12",
-
abstract = "The evolution of controllers using genetic programming
is described for the continuous, limited torque minimum
time swing-up and inverted balance problems of the
acrobot. The best swing-up controller found is able to
swing the acrobot up to a position very close to the
inverted handstand position in a very short time, which
is comparable to the results which have been achieved
by other methods using similar parameters for the
dynamic system. The balance controller is successful at
keeping the acrobot in the unstable, inverted position
when starting from the inverted position.",
-
notes = "SGAI Conf",
- }
Genetic Programming entries for
Dimitris C Dracopoulos
Barry D Nichols
Citations