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小木虫论坛-学术科研互动平台 » 学术交流区 » 论文投稿 » 求助完结 » 帮忙查下这论文是否被sci?检索方式是期刊论文，还是会议论文？
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gaoyanyan3

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[求助] 帮忙查下这论文是否被sci?检索方式是期刊论文，还是会议论文？

Jianfeng Zhao and Wenghua Zeng;
Simple Implementation of Parallel Genetic Algorithms Based on Cloud Computing
INFORMATION JOURNAL ，Vol.15, No.11(A), November, 2012


可否把检索页信息粘贴过来，主要看检索方式是期刊论文，还是会议论文？
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1楼2012-12-06 06:35:26
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makunjida

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楼主，怎么还有a增刊吗？是日本那个期刊吗？是不是会议推荐得呢？

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2楼2012-12-06 08:18:50
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ll9999

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gaoyanyan3: 金币+2 2012-12-06 11:04:41
不是SCI收录论文！
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3楼2012-12-06 08:47:47
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nuaawq

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gaoyanyan3: 金币+2 2012-12-06 11:04:50
不是sci的收录的啊。。。。
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4楼2012-12-06 08:57:52
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gaoyanyan3

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Study of Strategy Optimization for Facility Location of Reverse Logistic Network Based on Artificial Immune System
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5楼2012-12-06 09:43:02
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gaoyanyan3

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上面那篇可能是还没送检，那谁可再帮我看看这篇，非常感激！
Huang Qian, Ren Zhigang, Li Shuzhou, Jiang Hong and Xu Dong:
Study of Strategy Optimization for Facility Location of Reverse Logistic Network Based on Artificial Immune System.

INFORMATION JOURNAL ,Vol.13, No.3(A), May, 2010
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6楼2012-12-06 09:44:29
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fendouysys

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gaoyanyan3: 金币+1 2012-12-06 11:04:56
这个不是SCI呀，楼主是不是错了
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7楼2012-12-06 09:53:46
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gaoyanyan3

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7楼: Originally posted by fendouysys at 2012-12-06 09:53:46
这个不是SCI呀，楼主是不是错了

上面那篇可能是还没送检，那谁可再帮我看看这篇，非常感激！
Huang Qian, Ren Zhigang, Li Shuzhou, Jiang Hong and Xu Dong:
Study of Strategy Optimization for Facility Location of Reverse Logistic Network Based on Artificial Immune System.

INFORMATION JOURNAL ,Vol.13, No.3(A), May, 2010
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8楼2012-12-06 10:18:26
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dreamsprit

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gaoyanyan3: 金币+5, ★★★★★最佳答案 2012-12-06 11:04:25
Study of Strategy Optimization for Facility Location of Reverse Logistic Network Based on Artificial Immune System  
作者: Huang, QA (Huang Qian)1; Ren, ZG (Ren Zhigang)2; Li, SZ (Li Shuzhuo)3; Jiang, H (Jiang Hong)4; Xu, D (Xu Dong)1  
来源出版物: INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL  卷: 13   期: 3   页: 523-535   出版年: MAY 2010  
被引频次: 1 (来自 Web of Science)  
引用的参考文献: 19 [ 查看 Related Records ]     引证关系图      
摘要: The facility location of the reverse logistic center, a realistic and challenging issue in the reverse logistic management, has been sufficiently studied in many fields such as management science and operational research. However, only a few studies have been done on the modeling and strategy optimization of the facility location of the reverse logistic center. This paper introduces a five-principal model of artificial immune optimization algorithm to the facility location strategy of the reverse logistic network, and systematically explores basic artificial immune operators, basic artificial immune rules, and convergence of the basic artificial immune algorithm. The model not only provides a novel solution to the facility location strategy optimization of the reverse logistic network, but also expands the applied field of artificial immune system and enriches the current artificial immune system models. The simulation studies show that the artificial immune optimization algorithm converges faster, obtains more precise solutions, and is more capable of preserving the diversity of the antibody group than the small-world genetic algorithm.  
入藏号: WOS:000281836000001  
文献类型: Article  
语种: English  
作者关键词: Reverse Logistic; Artificial Immune System; Artificial Immune Optimization  
KeyWords Plus: MODELS  
通讯作者地址: Huang, QA (通讯作者),Xian Phys Educ Univ, Xian 710068, Shannxi, Peoples R China.  
地址:
1. Xian Phys Educ Univ, Xian 710068, Shannxi, Peoples R China
2. Xi An Jiao Tong Univ, Xian 710041, Shannxi, Peoples R China
3. Xi An Jiao Tong Univ, Sch Publ Policy & Adm, Xian 710068, Shannxi, Peoples R China
4. Xian Univ Architecture & Technol, Xian 710055, Shaanxi, Peoples R China  
出版商: INT INFORMATION INST, FAC ENG, HOSEI UNIV, KOGANEI, TOKYO, 184-8584, JAPAN  
Web of Science 类别: Engineering, Multidisciplinary  
研究方向: Engineering  
IDS 号: 650GA  
ISSN: 1343-4500
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9楼2012-12-06 10:55:50
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