Behavioral selection in domestic assistance robots: A comparison of different methods for optimization of utility functions
Created by W.Langdon from
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- @InProceedings{Pettersson:2006:SMC,
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author = "Jimmy Pettersson and David Sandberg and
Krister Wolff and Mattias Wahde",
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title = "Behavioral selection in domestic assistance robots:
{A} comparison of different methods for optimization of
utility functions",
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booktitle = "Proceedings of the 2006 IEEE International Conference
on Systems, Man, and Cybernetics, (SMC'06)",
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year = "2006",
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volume = "6",
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pages = "4904--4909",
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address = "Taipei, Taiwan",
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month = "8-11 " # oct,
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publisher = "IEEE press",
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keywords = "genetic algorithms, genetic programming, autonomous
domestic assistance robot, behavioural selection
system, evolutionary algorithm, utility function
optimisation, mobile robots, service robots",
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DOI = "doi:10.1109/ICSMC.2006.385082",
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abstract = "In this paper, the performance of several evolutionary
algorithms (EAs), involving different operators, is
investigated in connection with the utility function
(UF) method, a method for generating behavioural
organisation (selection) systems in autonomous robots.
The standard UF method, which uses an ordinary genetic
algorithm (GA) with fixed-length chromosomes is
compared with modified evolutionary methods in which
the chromosomes are allowed to vary in size. The
results show that, contrary to expectations, the
standard UF method performs at least as well as the
modified methods, despite the fact that the latter have
larger flexibility in exploring the space of possible
utility functions. A tentative explanation of the
results is given, by means of a simple, analytically
tractable, behavioral organization problem.",
-
notes = "Also known as \cite{4274691}",
- }
Genetic Programming entries for
Jimmy Pettersson
David Sandberg
Krister Wolff
Mattias Wahde
Citations