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Event Space-Correlation Analysis Algorithm Based on Ant Colony Optimization

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Intelligent Computing Theories and Application (ICIC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9771))

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Abstract

Historical disaster events are taken as a case for space-correlation analysis, three-dimensional disasters space-time complex network are modeled and chain relationship of disaster nodes are mined by looking for similar space vector in network. Then transformed the vector discover problem into a path optimization problem and solved by using ant colony algorithm, where the pheromone parameter in the process of optimal-path finding is concerned as the algorithm result, in order to solve the problem of path competition which existed when only to solve the optimal path. Experimental results of MATLAB show that this method has high accuracy and practicality.

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Acknowledgment

This paper is sponsored by the National Natural Science Foundation of China (NSFC, Grant 61572447).

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Correspondence to Guo-Ning Lv .

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Liu, S., Lv, GN., Feng, C. (2016). Event Space-Correlation Analysis Algorithm Based on Ant Colony Optimization. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theories and Application. ICIC 2016. Lecture Notes in Computer Science(), vol 9771. Springer, Cham. https://doi.org/10.1007/978-3-319-42291-6_56

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  • DOI: https://doi.org/10.1007/978-3-319-42291-6_56

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42290-9

  • Online ISBN: 978-3-319-42291-6

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