Publication
Exploiting single-cycle symmetries in continuous constraint problems
Journal Article (2009)
Journal
Journal of Artificial Intelligence Research
Pages
499-520
Volume
34
Doc link
http://www.jair.org/media/2711/live-2711-4351-jair.pdf
File
Abstract
Symmetries in discrete constraint satisfaction problems have been explored and exploited in the last years, but symmetries in continuous constraint problems have not received the same attention. Here we focus on permutations of the variables consisting of one single cycle. We propose a procedure that takes advantage of these symmetries by interacting with a continuous constraint solver without interfering with it. A key concept in this procedure are the classes of symmetric boxes formed by bisecting a n-dimensional cube at the same point in all dimensions at the same time. We analyze these classes and quantify them as a function of the cube dimensionality. Moreover, we propose a simple algorithm to generate the representatives of all these classes for any number of variables at very high rates. A problem example from the chemical field and the cyclic n-roots problem are used to show the performance of the approach in practice.
Categories
robots.
Author keywords
constraint satisfaction, continuous constraint satisfaction, symmetry, symmetric boxes, branch-and-prune
Scientific reference
V. Ruiz de Angulo and C. Torras. Exploiting single-cycle symmetries in continuous constraint problems. Journal of Artificial Intelligence Research, 34: 499-520, 2009.
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