In recent years, there has been growing interest in algorithms inspired by
the observation of natural phenomena to define computational procedures tha
t can solve complex problems. In this article, we describe a distributed he
uristic algorithm that was inspired by the observation of the behavior of a
nt colonies, and we propose its use for the Quadratic Assignment Problem. T
he results obtained in solving several classical instances of the problem a
re compared with those obtained from other evolutionary heuristics to evalu
ate the quality of the proposed system.