The honey bee nest site selection process is a prominent example for self-organized decision making in social insects. In the first part of this talk we present a model for this process. We discuss differences in the behavior of the European honey bee (Apis mellifera) and the red dwarf honey bee (Apis florea) and how these are represented in the model. Simulation studies are presented which show that the decision process in the two bee species is an adaptation to their nest site and habitat preferences. We also present an optimization method - Bee Nest-Site Optimization - that is inspired by the bee nest site selection process and show that it can successfully be applied for solving the Protein Docking Problem.
Bee Nest Selection, Optimization, Swarm Intelligence