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tom_hong

新虫 (初入文坛)

[求助] 求助一篇会议是否被ei检索

如题 信息如下  如果被检索了 请告诉我ei检索号
AMM (Volume 340)
题目:An Improved Genetic Algorithm Based on Cellular Automata
作者Hong Tang, Yun Sheng Ge, Xiao Hai Pan, Shu Feng We
网址:https://www.scientific.net/AMM.340.727

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tangcwk

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优秀版主文献杰出贡献文献杰出贡献

引用回帖:
6楼: Originally posted by bhhpvwd18 at 2015-09-06 15:40:11
要找最新的EI会议信息,可以百度下:EI学术会议中心,很多各种领域的EI会议,还有很多EI会议的知识和论文发表技巧6740253

有完没完啊

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需要书籍的请自行发帖求助,金币够了,我自然会应助,请不要站内信索要书籍密码,我不会给你的。没有看到这些字直接要密码的都眼瞎
7楼2015-09-06 16:15:53
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baiyuefei

版主 (文学泰斗)

风雪

优秀版主优秀版主优秀版主文献杰出贡献优秀版主优秀版主优秀版主文献杰出贡献优秀版主优秀版主优秀版主优秀版主文献杰出贡献优秀版主优秀版主优秀版主优秀版主优秀版主优秀版主

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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
2楼2013-12-12 09:34:55
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baiyuefei

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风雪

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★ ★ ★ ★ ★
tom_hong: 金币+5, ★★★很有帮助 2013-12-12 10:35:59
收录号:

Accession number:


20133516682145
3楼2013-12-12 09:35:14
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tom_hong

新虫 (初入文坛)

引用回帖:
3楼: Originally posted by baiyuefei at 2013-12-12 09:35:14
收录号:

Accession number:


20133516682145

版主能把检索文件发给我么?方便打印
4楼2013-12-12 10:46:31
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