| 查看: 672 | 回复: 6 | |||
| 本帖产生 1 个 ，点击这里进行查看 | |||
| 当前只显示满足指定条件的回帖，点击这里查看本话题的所有回帖 | |||
[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 |
回复此楼» 猜你喜欢
284求调剂
已经有10人回复
-
一志愿山东大学药学学硕求调剂
已经有4人回复
-
07化学280分求调剂
已经有4人回复
-
298-一志愿中国农业大学-求调剂
已经有12人回复
-
求材料，环境专业调剂
已经有3人回复
-
335求调剂
已经有5人回复
-
求调剂
已经有7人回复
-
一志愿吉大化学322求调剂
已经有4人回复
-
环境学硕288求调剂
已经有8人回复
-
341求调剂(一志愿湖南大学070300)
已经有6人回复
baiyuefei
版主 (文学泰斗)
风雪
- 应助: 4642 (副教授)
- 贵宾: 46.969
- 金币: 658104
- 散金: 11616
- 红花: 995
- 沙发: 81
- 帖子: 69424
- 在线: 13328.3小时
- 虫号: 676696
- 注册: 2008-12-18
- 性别: GG
- 专业: 合成药物化学
- 管辖: 有机交流
【答案】应助回帖
★ ★ ★ ★ ★
tom_hong: 金币+5, ★★★很有帮助 2013-12-12 10:35:59
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
baiyuefei
版主 (文学泰斗)
风雪
- 应助: 4642 (副教授)
- 贵宾: 46.969
- 金币: 658104
- 散金: 11616
- 红花: 995
- 沙发: 81
- 帖子: 69424
- 在线: 13328.3小时
- 虫号: 676696
- 注册: 2008-12-18
- 性别: GG
- 专业: 合成药物化学
- 管辖: 有机交流
【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 |
2楼2013-12-12 09:34:55
4楼2013-12-12 10:46:31
lazy锦溪: 屏蔽内容, 马甲存档, 广告 2015-09-06 14:52:19
|
本帖内容被屏蔽 |
5楼2015-09-06 14:50:14
