On how the ants Pachycondyla Apicalis are suggesting a new search algorithm

We present in this paper a new model of artificial ants foraging behavior based on a population of primitive ants (Pachycondyla apicalis) and its application to the general problem of optimization. These ants are characterized by a relatively simple but efficient strategy of prey search where individuals hunt alone and try to cover uniformly a given area around their nest. This is performed by parallel local searches on hunting sites with a sensitivity to successful sites. Also, the nest is...