Honey Bee Optimization Based on Mimicry of Threshold Regulation in Honey Bee Foraging
Honey bees correctly allocate their work force to nectar sources using the “waggle dance”. In addition, they can determine the necessity for a nectar source. Thus, they possess a value threshold for a nectar source and they can collectively regulate it. Based on the mimicry of the threshold regulation used in honey bee foraging, we are developing a system that allows agents to determine whether their own solution is worth communicating to other agents. We propose a novel bio-inspired optimization algorithm, honey bee optimization (HBO). HBO is a multi-agent system based on the foraging activities of honey bees. To test the characteristics of HBO, we applied it to the travelling salesperson problem (TSP).
KeywordsNormal Agent Middle Stage Threshold Regulation Nectar Source Tour Length
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