Research on Ant Colony Algorithm in Vehicle Operation Adjustment Based on IOT
Xian-Min Wei
(Computer Engineering School, Weifang University, Weifang 261061, China)
Abstract:
Automatic solution of vehicle operation adjustment is the important content in realizing vehicle traffic command automation on Internet of Things platform. Based on both the organization realization of Internet of Things platform and the merging vehicle operation adjustment into the Flow-Shop scheduling problem in manufacturing systems, this paper has constructed the optimization model with a two-lane vehicle operation adjustment. With respect to the large model solution space and complex constraints, a better solution algorithm is proposed based on ant colony algorithm for optimal quick solution. The simulation results show that the algorithm is feasible and the approximate optimal solution can be quickly obtained.
Key words: vehicles operation adjustment flow-shop scheduling optimization model ant colony algorithm
DOI：10.11916/j.issn.1005-9113.2013.02.004
Clc Number:TN91
Fund:
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Research on Ant Colony Algorithm in Vehicle Operation Adjustment Based on IOT
本站小编 哈尔滨工业大学/2019-10-24
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