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【答案】应助回帖

oven1986: 检索EPI+1, 感谢应助,鼓励一下。 2013-12-13 17:32:19
Accession number:


20133516682145






Title:

An improved genetic algorithm based on cellular automata






Authors:

Tang, Hong1 ; Ge, Yun-Sheng1; Pan, Xiao-Hai2; We, Shu-Feng1





Author affiliation:

1College of Information Science and Engineering, Guilin University of Technology, Guilin, China






2Satelite Navigation Center, The National University of Defense Technology, Changsha, China






Source title:

Applied Mechanics and Materials






Abbreviated source title:

Appl. Mech. Mater.






Volume:

340






Monograph title:

Green Manufacturing, Mechanical and Automation Engineering






Issue date:

2013






Publication year:

2013






Pages:

727-731






Language:

English






ISSN:

16609336






E-ISSN:

16627482






ISBN-13:

9783037857489






Document type:

Conference article (CA)






Conference name:

3rd International Conference on Mechanical Engineering and Green Manufacturing 2013, MEGM 2013






Conference date:

March 22, 2013 - March 24, 2013






Conference location:

Chongqing, China






Conference code:

99012






Sponsor:

National Natural Science Foundation of China (NSFC)






Publisher:

Trans Tech Publications Ltd, Kreuzstrasse 10, Zurich-Durnten, CH-8635, Switzerland






Abstract:

In order to overcome the drawbacks of Simple Genetic Algorithm such as cannot get the most optimal result, low convergence speed et al. Cellular Simple Genetic Algorithm-a new genetic algorithm based on Cellular Automata-is presented in this paper. Compared with the Simple Genetic Algorithm, the experiment results show the Cellular Simple Genetic Algorithm has remarkable advantages in following aspects: reducing the search-time and improving the precise of target function. © (2013) Trans Tech Publications Switzerland.






Number of references:

8






Main heading:

Genetic algorithms






Controlled terms:

Cellular automata  -  Manufacture






Uncontrolled terms:

Comparative testing  -  Convergence speed  -  Improving  -  New genetic algorithms  -  Optimal results  -  Simple genetic algorithm  -  Target functions






Classification code:

537.1 Heat Treatment Processes -  723 Computer Software, Data Handling and Applications -  921 Mathematics





DOI:

10.4028/www.scientific.net/AMM.340.727






Database:

Compendex
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