Abstract
In the optimization algorithms in multi-agent systems like genetic algorithm, it is important to define the threshold which keeps a valance of the exploration and the explanation. It is needed that the threshold is autonomous controlled to be appropriate to the situation without the central controller.
The foraging of honey bee is highly autonomous distributed controlled system. The Bees appropriately allocate their work force to some nectar sources because they can judge the worth of the nectar source by the probability of meeting others. In other words, they can indirectly know the nectar requirement of hive. We are on the way to develop the system which makes agents judge if its own solution is worth to be informed for other agents by this algorithm.
We propose a novel bio-inspired optimization algorithm, Honey Bees Optimization (HBO). The HBO is a multi-agent system based on foraging activities of honey bees and applied to the Traveling Salesperson Problem (TSP).
