A straightforward local-search optimization algorithm on the symmetric group

Mathematics – Optimization and Control

Scientific paper

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Scientific paper

Given a real objective function defined over the symmetric group, a direct
local-search algorithm is proposed, and its complexity is estimated. In
particular for an $n$-dimensional unit vector we are interested in the
permutation isometry that acts on this vector by mapping it into a cone of a
given angle.

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