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http://dx.doi.org/10.7780/kjrs.2011.27.1.059

Analysis of Optimal Infiltraction Route using Genetic Algorithm  

Bang, Soo-Nam (Agency for Defense Development)
Sohn, Hyong-Gyoo (School of Civil & Environmental Engineering, College of Engineering, Yonsei University)
Kim, Sang-Pil (School of Civil & Environmental Engineering, College of Engineering, Yonsei University)
Kim, Chang-Jae (School of Civil & Environmental Engineering, College of Engineering, Yonsei University)
Heo, Joon (School of Civil & Environmental Engineering, College of Engineering, Yonsei University)
Publication Information
Korean Journal of Remote Sensing / v.27, no.1, 2011 , pp. 59-68 More about this Journal
Abstract
The analysis of optimal infiltration path is one of the representative fields in which the GIS technology can be useful for the military purpose. Usually the analysis of the optimal path is done with network data. However, for military purpose, it often needs to be done with raster data. Because raster data needs far more computation than network data, it is difficult to apply the methods usually used in network data, such as Dijkstra algorithm. The genetic algorithm, which has shown great outcomes in optimization problems, was applied. It was used to minimize the detection probability of infiltration route. 2D binary array genes and its crossover and mutation were suggested to solve this problem with raster data. 30 tests were performed for each population size, 500, 1000, 2000, and 3000. With each generation, more adoptable routes survived and made their children routes. Results indicate that as the generations increased, average detection probability decreased and the routes converged to the optimal path. Also, as the population size increases, more optimal routes were found. The suggested genetic algorithm successfully finds the optimal infiltration route, and it shows better performance with larger population.
Keywords
Optimal path; Infiltration route analysis; Genetic algorithm;
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