DocumentCode
2840588
Title
Genetic algorithms solving the problem of commercial advertisement layout in newspapers
Author
Chengyao, Wang ; Zhan, Li ; Shaoqian, Wei
Author_Institution
Coll. Teacher, Beijing Union Univ., Beijing, China
fYear
2009
fDate
17-19 June 2009
Firstpage
2731
Lastpage
2735
Abstract
The layout problem of business advertisements on newspapers belonging to orthogonal packing problem is nonlinear problem. The mathematics model of the problem is described. The encoding space and the decoding function of the genetic algorithm is designed basing on the problem characterizes. The simulation result shows that the genetic algorithm has better performance.
Keywords
advertising; genetic algorithms; business advertisements; commercial advertisement layout; decoding function; encoding space; genetic algorithms; mathematics model; nonlinear problem; orthogonal packing problem; Algorithm design and analysis; Business; Decoding; Encoding; Genetic algorithms; Mathematical model; Mathematics; Bottom-left-condition; Business advertisements; Genetic algorithms; Layout problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location
Guilin
Print_ISBN
978-1-4244-2722-2
Electronic_ISBN
978-1-4244-2723-9
Type
conf
DOI
10.1109/CCDC.2009.5195012
Filename
5195012
Link To Document