Assembly Sequence Planning Based on Hybrid Artificial Bee Colony Algorithm

Author:

Yuan Wenbing,Chang Liang,Zhu Manli,Gu Tianlong

Publisher

Springer International Publishing

Reference18 articles.

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2. Gottipol, U.R.B., Ghos, K.: A simplified and efficient representation for evaluation and selection of assembly sequences. Comput. Ind. 50(3), 251–264 (2003)

3. Wang, Y., Liu, J.H., Li, L.S.: Assembly sequence merging based on assembly unit partitioning. Int. J. Adv. Manuf. Technol. 45, 808–820 (2009)

4. Greg, C.S., Shana, S.F.: An enhanced genetic algorithm for automated assembly planning. Robot. Comput. Integr. Manuf. 18(2002), 355–364 (2000)

5. Chen, R.S., Lu, K.Y., Yu, S.C.: A hybrid genetic algorithm approach on multi-objective of assembly planning problem. Eng. Appl. Artif. Intell. 15(4), 447–457 (2012)

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1. Decreasing Number of Geometric Feasibility Checks in Automatic Assembly Planning: A Review;2023 IEEE 24th International Conference of Young Professionals in Electron Devices and Materials (EDM);2023-06-29

2. A review on the studies employing artificial bee colony algorithm to solve combinatorial optimization problems;Engineering Applications of Artificial Intelligence;2022-10

3. Assembly Sequence Optimization Using the Bees Algorithm;Enabling Industry 4.0 through Advances in Mechatronics;2022

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