Abstract
The city emergency logistics scheduling is an important part of the city emergency management. When there are many candidate base station exist in a city, the issue belongs to multiple rescue-single object question. We think the time factor as the first consideration, and improve on the original Genetic Algorithm, use the Cloud Theory-Based Genetic Algorithm to resolve the issue of the city emergency logistics scheduling. The experimental result shows that when using the Cloud Theory-Based Genetic Algorithm to make decision for emergency logistics scheduling, we can get the optimum solution only a few genetic algebras with high accuracy and good immediacy.
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© 2011 Springer-Verlag Berlin Heidelberg
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Liu, H., Xiong, J. (2011). Research on the City Emergency Logistics Scheduling Decision Based on Cloud Theory-Based Genetic Algorithm. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23339-5_33
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DOI: https://doi.org/10.1007/978-3-642-23339-5_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23338-8
Online ISBN: 978-3-642-23339-5
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