An Adaptive Ant Colony System for Public Bicycle Scheduling Problem
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-04179-3_37
Reference16 articles.
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3. Rabbani, M., Tahaei, Z., Farrokhi-Asl, H., Saravi, N.A.: Using meta-heuristic algorithms and hybrid of them to solve multi compartment vehicle routing problem. In: 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 1022–1026. IEEE, Singapore (2017)
4. Dorigo, M., Gambardella, L.M.: Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Trans. Evol. Comput. 1(1), 53–66 (1997)
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