The Honey Bee Optimization by Mimicking a Threshold Regulating in Honey Bee Foraging

The honey bees that are a kind of social insects are well known to appropriately allocate their work force to some nectar sources by “waggle dance”. In addition, they have the threshold of the usage about the nectar sources and they can regulate it autonomously as the whole of bees. Mimicking this threshold regulation in honey bee foraging, it is on the way to develop the system which enables agents judge if its own solution is worth to be informed for other agents by this algorithm. Consequently a novel bio-inspired optimization algorithm BTO-PJ (Bee Total Optimization with Personal Judgment) is proposed. The BTO-PJ is a multi-agent system based on foraging activities of honey bees. In order to examine characteristics of the BTO-PJ, we apply it to the Traveling Salesperson Problem (TSP).