Abstract
In this paper, we propose a novel artificial bee colony(ABC) algorithm for the multidimensional knapsack problems, which introduces the attraction pheromone and presents a transition strategy based on the attraction pheromone. In our algorithm, the scout generates a food source according to the transition strategy and replaces the abandoned food source by comparison with the corresponding elite food source, while the employed bee and onlooker modify the repair operator using the transition strategy in the determination of the neighborhood of a food source. Experimental results show that our approach performs better in the quality of solutions, the convergence speed and the time performance than traditional ABC algorithm.
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Wei, H., Ji, J., Qin, Y., Wang, Y., Liu, C. (2011). A Novel Artificial Bee Colony Algorithm Based on Attraction Pheromone for the Multidimensional Knapsack Problems. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7003. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23887-1_1
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DOI: https://doi.org/10.1007/978-3-642-23887-1_1
Publisher Name: Springer, Berlin, Heidelberg
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