Abstract
A new model for the ant colony optimization (ACO) method which is optimized by combining the cellular automata (CA) is proposed in this paper. The mathematic model of slotting optimization for stereo warehouse, together with the proposed ACO-based searching process is developed. Through the evolutionary mechanism of cellular and the redistribution of pheromones, the proposed ACO method is able to improve the searching effectiveness of solution space, and the case of getting into local optimums is avoided. Compared to the traditional ACO algorithm, the proposed ACO method can find the global optimal solution easily. The efficiency of the proposed method is demonstrated in the case study.
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Jin, M., Mu, X., Du, F., Luo, L. (2015). A Cellular Ant Algorithm-Based Method for Solving Stereo Warehouse Slotting Optimization Problem. In: Proceedings of China Modern Logistics Engineering. Lecture Notes in Electrical Engineering, vol 286. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44674-4_26
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DOI: https://doi.org/10.1007/978-3-662-44674-4_26
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