Title :
The vectorization research of military map base on adaptive genetic algorithm
Author :
Wei, Pan ; Yunfeng, Wang ; Huazong, Diao
Author_Institution :
Electr. Detection Dept., Shenyang Artillery Acad., Shenyang, China
Abstract :
Aiming at the research of military map vectorization, the vectorization method of military map based on adaptive genetic algorithm is designed. The modificatory operations of new individuals are added after new individuals were produced, and the fitness can be improved by the operations. The adaptive crossover probability and adaptive mutation probability are proposed, which consider the influence of every generation to algorithm and the effect of different individual fitness in every generation. The results of experiment research show the effectiveness of the proposed method through that traditional algorithm compares with adaptive genetic algorithm.
Keywords :
adaptive systems; genetic algorithms; probability; vectors; adaptive crossover probability; adaptive genetic algorithm; adaptive mutation probability; military map vectorization; modificatory operations; Algorithm design and analysis; Computer graphics; Constraint optimization; Decision support systems; Genetic algorithms; Genetic mutations; Geographic Information Systems; Stochastic processes; adaptive genetic algorithm; crossover probability; individual modification; military map; mutation probability;
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
DOI :
10.1109/CCDC.2010.5498583
