Foraging Bee Optimization Algorithm

Honey bee colonies depend on pollen and nectar from flowers for their feed. The act of searching this by the bees is called foraging. foraging behaviour depends profitability sources as well needs colony. This modeled into an algorithm Foraging Bee Optimization Algorithm (FBA). After initialization, loops through three phases based bees’ nature 3W: Waggle, Work, Withdraw. A large number are initialized randomly in problem space. During waggle phase, recruited to patch with profitable sources. In work new discovered memorized bees. withdraw phase eliminate unprofitable recalibrate recruitment. proposed FBA tested unimodal twelve multimodal benchmark. result compared two state-of-the-art natured-inspired optimization algorithm.