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
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;
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
DOI :
10.1109/CCDC.2009.5195012
