Artificial bee colony based mapping for application specific network-on-chip design
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
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The artificial bee colony (ABC) algorithm is a stochastic, population-based evolutionary method that can be applied to a wide range of problems, including global optimization. The paper proposes a variation on the traditional ABC algorithm, called the artificial bee colony programming, or ABCP, employing randomized distribution, bit hyper-mutation and a novel crossover operator to significantly improve the performance of the original algorithm. Application of the new ABC algorithm on fifteen benchmark optimization problems shows a marked improvement in performance over the traditional ABC.