DocumentCode
531935
Title
The research on vector data compression based on multi-objective optimization algorithm
Author
Wang, Nihong ; Wang, Chang ; Wu, Changwei ; Zhang, Yanrong
Author_Institution
Coll. of Inf. & Comput. Eng., Northeast Forestry Univ., Harbin, China
Volume
1
fYear
2010
fDate
22-24 Oct. 2010
Abstract
This paper proposes a multi-objective optimization algorithm of vector data compression in the basis of the traditional Douglas-Peucker algorithm and multi-objective optimization algorithm, which gets the optimal matching program of multi-objective optimization through the Pareto optimal set. This algorithm also solves the deficiencies of traditional Douglas-Peucker algorithm and makes a good compression effect.
Keywords
Pareto optimisation; data compression; Douglas-Peucker algorithm; Pareto optimal set; multiobjective optimization algorithm; vector data compression; Douglas-Peucker algorithm; Pareto optimal set; Vector Data Compression; multi-objective optimization algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5619167
Filename
5619167
Link To Document