DocumentCode
1618882
Title
Different Shape Object Layout Problem Solving Based on Genetic Algorithm
Author
Jun-lin, Qiu ; Ya-hong, Zhang ; Wan-li, Feng ; Cheng-hao, Han
Author_Institution
Fac. of Comput. Eng., Huaiyin Inst. of Technol., Huaiyin, China
fYear
2012
Firstpage
1766
Lastpage
1769
Abstract
Through analyzing the characteristics of the layout of different shape objects, according to the basic idea of genetic algorithm, which is proposed based on the layout algorithm for different objects. The algorithm to select the appropriate encoding method, genetic operators and the appropriate adaptive function, The experimental results show that the algorithm converges fast to solve premature, and that in a short time to get a better layout program.
Keywords
bin packing; genetic algorithms; adaptive function; encoding method; genetic algorithm; genetic operators; shape object layout problem solving; Biological cells; Computers; Encoding; Genetic algorithms; Genetics; Layout; Shape; Different shape object; Genetic algorithm; Layout solving;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4673-1450-3
Type
conf
DOI
10.1109/ICICEE.2012.467
Filename
6322757
Link To Document