  The conformational mobility of organic molecules defined as a variability of
practically accessible conformers plays a critical role in determining
electronic, chemical, and physical properties within computational methods. At
the same time, there is a challenge of identifying compact set of global and
local conformers for the comprehensive description of potential energy surface.
Here we apply nature-inspired algorithms to resolve this issue. Among all the
considered algorithms, the artificial bee colony optimizer exhibits the highest
performance in discovering conformers detected both in gas and condensed
phases. We hope that our approach enables researchers to make a next step in
organic crystal packing studies.
