Title :
An Adaptive Genetic Algorithm for Automated Annotation of Point Elements in Numerical Map
Author :
Zhang, Hongwu ; Feng, Hongcai ; Liu, Changhua
Author_Institution :
Dept. of Comput. & Inf. Eng., Wuhan Polytech. Univ., Wuhan, China
Abstract :
This paper proposes an adaptive genetic algorithm for automated annotation of point elements in numerical map. Firstly, analyze the automatic annotation problem for point elements in numerical map, present an adaptive genetic algorithm for automated annotation of point elements (AGAAA), and analyze its methods and steps of the algorithm. Experiments show that MAGA is efficient and adaptive which solves the conflicting, overlapping and relocating among the point elements and their labels.
Keywords :
cartography; genetic algorithms; adaptive genetic algorithm; automated point element annotation; numerical map; Algorithm design and analysis; Biological cells; Encoding; Genetic algorithms; Optimization; Silicon; User interfaces; Automated Annotation; Point Elements; adaptive genetic algorithm; conflicting; numerical map; overlapping;
Conference_Titel :
Intelligence Science and Information Engineering (ISIE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-0960-9
Electronic_ISBN :
978-0-7695-4480-9
DOI :
10.1109/ISIE.2011.80
