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 :
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