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	Solving the green-fuzzy vehicle routing problem using a revised hybrid intelligent algorithm
	Xu, Qichao[1]; Su, Zhou[2]; Han, Bo[3]; Fang, Dongfeng[4]; Xu, Zejun[5]
刊名	JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
	2019
卷号	10页码:321-332
关键词	Vehicle routing problem Fuzzy travel time Fuzzy simulation Green logistics Genetic algorithm
ISSN号	1868-5137
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2165189
专题	上海大学
作者单位	[1]School of Mechatronics and Automation, Shanghai University, NO. 149, Yanchang Road, Zhabei Dist., Shanghai, China [2]School of Mechatronics and Automation, Shanghai University, NO. 149, Yanchang Road, Zhabei Dist., Shanghai, China |Waseda University, Tokyo, Japan [3]Center of Information and Networks, Xian Jiaotong University, No.28, Xianning WestRoad, Xian, China[4]School of Mechatronics and Automation, Shanghai University, NO. 149, Yanchang Road, Zhabei Dist., Shanghai, China [5]School of Mechatronics and Automation, Shanghai University, NO. 149, Yanchang Road, Zhabei Dist., Shanghai, China
推荐引用方式 GB/T 7714	Xu, Qichao[1],Su, Zhou[2],Han, Bo[3],et al. Solving the green-fuzzy vehicle routing problem using a revised hybrid intelligent algorithm[J]. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING,2019,10:321-332.
APA	Xu, Qichao[1],Su, Zhou[2],Han, Bo[3],Fang, Dongfeng[4],&Xu, Zejun[5].(2019).Solving the green-fuzzy vehicle routing problem using a revised hybrid intelligent algorithm.JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING,10,321-332.
MLA	Xu, Qichao[1],et al."Solving the green-fuzzy vehicle routing problem using a revised hybrid intelligent algorithm".JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING 10(2019):321-332.

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