Effectiveness of guidepost pheromone for Honeybee Colony Optimization
Yudai Shirasaki, Sho Shimomura, Masaki Sugimoto, Yoko Uwate, Yoshifumi Nishio · 2011
Honeybee Colony Optimization (HCO) is an optimization algorithm based on a particular intelligent behavior of honeybee swarms. In this study, we propose a new HCO containing a characteristic of guidepost pheromone that has the effect to attract other bees. Namely, many bees can move to the optimal place. We investigate the performance of the proposed HCO by using four benchmark problems. It discovered that the effect of guidepost pheromone works well for the high dimension problems. We consider that the proposed HCO with pheromone can leave from local minima more easily than the standard HCO.