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Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005. Vol. 2
A parallel algorithm of polygons packing based on ant colony
May 24-May 26
ISBN: 1-84600-002-5
null Wen Peng, Inst. of Artificial Intelligence, Zhejiang Univ., China
null Ruofeng Tong, Inst. of Artificial Intelligence, Zhejiang Univ., China
null Min Tang, Inst. of Artificial Intelligence, Zhejiang Univ., China
null Jinxiang Dong, Inst. of Artificial Intelligence, Zhejiang Univ., China
This paper presents a novel algorithm for optimal packing problem by combining ant colony algorithm with BLF (bottom-left-fill) heuristic approach. The proposed algorithm not only automatically looks for the best sequence of the polygons and each polygon's optimum rotation by ant colony algorithm but also implements the exact layout with the BLF heuristic algorithm. Moreover, the algorithm supports the parallel computation and facilitates quick convergence to the optimal solution. The experimental results show the effectiveness of our algorithm comparing with the other methods.
Index Terms:
optimal solution, parallel algorithm, polygon packing, optimal packing problem, ant colony algorithm, BLF heuristic approach, bottom-left-fill, polygon optimum rotation, BLF heuristic algorithm, parallel computation
Citation:
null Wen Peng, null Ruofeng Tong, null Min Tang, null Jinxiang Dong, "A parallel algorithm of polygons packing based on ant colony," cscwd, vol. 2, pp.846-851 Vol. 2, Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005. Vol. 2, 2005
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