Lévy flights do not always optimize random blind search for sparse targets
Lévy flights do not always optimize random blind search for sparse targets
V. V. Palyulin,A. Chechkin,R. Metzler
2014 · DOI: 10.1073/pnas.1320424111
Proceedings of the National Academy of Sciences of the United States of America · 194 Citations
TLDR
It is shown that for close targets and for downstream target positioning regular Brownian motion turns out to be the advantageous search strategy, contrary to claims that Lévy flights with a critical exponent α = 1 are optimal for the search of sparse targets in different settings.
