Abstract
To solve the job-shop scheduling problem of robotic manufacturing cell with multiple robots, population initialization method and neighborhood search mechanism of its solution genetic algorithm are studied. The objective is to determine a schedule of machine and transport operations as well as assignment of robots to transport operation with minimize the maximum completion time. To improve the quality of the initial population, heuristic initialization method based on 3 vectors scheduling combining dispatching rules is proposed. Neighborhood structure is constructed based on the critical path. Experimental results show that the algorithm is effective.
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© 2014 Springer International Publishing Switzerland
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Yang, Y., Long, C., Tao, Y. (2014). Research Scheduling Problem of Job-Shop Robotic Manufacturing Cell with Several Robots. In: Zhang, X., Liu, H., Chen, Z., Wang, N. (eds) Intelligent Robotics and Applications. ICIRA 2014. Lecture Notes in Computer Science(), vol 8918. Springer, Cham. https://doi.org/10.1007/978-3-319-13963-0_12
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DOI: https://doi.org/10.1007/978-3-319-13963-0_12
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13962-3
Online ISBN: 978-3-319-13963-0
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