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gaoyanyan3銀蟲 (正式寫手)
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[求助]
幫忙查下這論文是否被sci?檢索方式是期刊論文,還是會(huì)議論文?
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Jianfeng Zhao and Wenghua Zeng; Simple Implementation of Parallel Genetic Algorithms Based on Cloud Computing INFORMATION JOURNAL ,Vol.15, No.11(A), November, 2012 可否把檢索頁(yè)信息粘貼過來,主要看檢索方式是期刊論文,還是會(huì)議論文? |
至尊木蟲 (知名作家)
專家顧問 (文壇精英)
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專家經(jīng)驗(yàn): +584 |
至尊木蟲 (知名作家)
銀蟲 (正式寫手)
銀蟲 (正式寫手)
木蟲 (職業(yè)作家)
銀蟲 (正式寫手)
捐助貴賓 (小有名氣)
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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 來源出版物: INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL 卷: 13 期: 3 頁(yè): 523-535 出版年: MAY 2010 被引頻次: 1 (來自 Web of Science) 引用的參考文獻(xiàn): 19 [ 查看 Related Records ] 引證關(guān)系圖 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. 入藏號(hào): WOS:000281836000001 文獻(xiàn)類型: Article 語(yǔ)種: English 作者關(guān)鍵詞: Reverse Logistic; Artificial Immune System; Artificial Immune Optimization KeyWords Plus: MODELS 通訊作者地址: Huang, QA (通訊作者),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 類別: Engineering, Multidisciplinary 研究方向: Engineering IDS 號(hào): 650GA ISSN: 1343-4500 |
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