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A Bee Algorithm for Multi-Agent Systems: Recruitment and Navigation Combined Host Publication: Proceedings of ALAg, an AAMAS workshop Authors: N. Lemmens, K. Tuyls, A. Nowé and S. De Jong Publication Date: May. 2007 Number of Pages: 5
Abstract: In this paper we present a new, non-pheromone-based algorithm inspired by the behaviour of biological bees. The algorithm combines both recruitment and navigation strategies. We investigate whether this new algorithm outperforms pheromone-based algorithms in the task of foraging. From our experiments, we conclude that (i) the non-pheromone-based algorithm is significantly more efficient when finding and collecting food, i.e., it uses fewer iterations to complete the task (ii) the non-pheromone-based algorithm is more scalable, i.e., it requires less computation time to complete the task, even though in small worlds, pheromone-based algorithms are faster on a time-per-iteration measure and finally, (iii) our current non-pheromone-based algorithm is less adaptive than pheromone-based algorithms. External Link.
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