Thematic Map Color Matching Design Based On Geese Swarm Optimization Algorithm

In order to enhance the beauty of thematic map and improve the intelligent level of map color matching, this paper designs an intelligent design optimization algorithm of thematic map color based on the actual needs of thematic map and geese swarm optimization algorithm. The basic idea is: guided by...

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Bibliographic Details
Published in2021 International Conference on Computer Engineering and Application (ICCEA) pp. 224 - 229
Main Authors Wang, Weiyi, Zuo, Dawei, Zhu, Meizheng
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2021
Subjects
Color
Color harmony theory
Color intelligent optimization design
Geese swarm optimization algorithm
Meidu formula
Optimization
Particle swarm optimization
Psychology
Sociology
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Summary:In order to enhance the beauty of thematic map and improve the intelligent level of map color matching, this paper designs an intelligent design optimization algorithm of thematic map color based on the actual needs of thematic map and geese swarm optimization algorithm. The basic idea is: guided by map types and user expectations, according to color psychology and Munsell's color harmony theory, the initial color is selected as the particles in the population, and then the geese swarm optimization algorithm is used to update the population, and the Munsell Spencer's color harmony theory and beauty formula are used as fitness functions for evaluation and optimization, so as to get the map color scheme. Finally, the algorithm is demonstrated by experiments.
DOI:10.1109/ICCEA53728.2021.00052