期刊文献+

并行烟花算法求解多货场电子商务物流运输调度问题 被引量:1

Parallel Fireworks Algorithm for Multi-depot E-commerce Vehicle Routing Problem
下载PDF
导出
摘要 根据电子商务物流运输调度过程中的特征,考虑了不同区域司机配送成本、多货场、时间窗等约束条件,建立了一种多货场电子商务物流运输调度模型,并提出一种并行烟花算法进行求解.所提出的算法采用货场车辆数与最大位置法结合的实数编码方式,并提出一种并行交流策略加强了算法的全局搜索能力以及提高运算速度.对比实验表明,相对于改进前的烟花算法,并行烟花算法具有较好的求解精度和求解时间. According to the characteristics of transportation scheduling process in e-commerce logistics,a multi-depot e-commerce vehicle routing problem is established in consideration of the constraints of variable costs for drivers in different regions,multi-depot and time windows.The parallel fireworks algorithm is proposed to solve the problem.The proposed algorithm uses the real number coding method which adopt the maximum position method including the vehicles number of depots.The parallel communication strategy is proposed to enhance the global search ability of the algorithm and reduce running time in solving problems.The comparison experiment shows that the parallel fireworks algorithm outperform the original fireworks algorithm in solution accuracy and running time.
作者 陈厚仁 蔡延光 黄戈文 蔡颢 CHEN Hou-ren;CAI Yan-guang;HUANG Ge-wen;CAI Hao(School of Automation,Guangdong University of Technology,Guangzhou 510006,China;Information and Network Center,Jiaying University,Meizhou 514015,China;Department of Health Science and Technology,Aalborg University,Aalborg 9220,Denmark)
出处 《嘉应学院学报》 2020年第3期21-27,共7页 Journal of Jiaying University
基金 国家自然科学基金(61074147) 广东省自然科学基金(S2011010005059) 广东省教育部产学研结合项目(2012B091000171,2011B090400460) 广东省科技计划项目(2012B050600028,2014B010118004,2016A050502060) 广州市花都区科技计划项目(HD14ZD001) 广州市科技计划项目(201604016055)
关键词 烟花算法 多货场 车辆路径问题 并行交流策略 最大位置法 fireworks algorithm multi—depot vehicle routing problem parallel communication strategy largest order value
  • 相关文献

参考文献5

二级参考文献34

  • 1娄素华,吴耀武,熊信艮.电力系统无功优化的变尺度混沌优化算法[J].电网技术,2005,29(11):20-24. 被引量:28
  • 2江雷.基于并行遗传算法的弹性TSP研究[J].微电子学与计算机,2005,22(8):130-133. 被引量:10
  • 3周涛.基于改进遗传算法的TSP问题研究[J].微电子学与计算机,2006,23(10):104-106. 被引量:19
  • 4王雪飞,王芳,邱玉辉.一种具有动态拓扑结构的粒子群算法研究[J].计算机科学,2007,34(3):205-207. 被引量:16
  • 5Hung Dinh Nguyen, Kunihito Yamamori, Moritoshi Yasunaga, et al. Implementation of an effective hybrid GA for large-scale traveling salesman problems [J]. IEEE Transactions on Systems, Man, And Cybernetics, 2007,37(1) : 92--99.
  • 6Tsai C F, Tsai C W, Tseng C C. A new approach for sovling large traveling salseman problem [ C]// Pro ceedings of the 2002 Congress on Evolutionary Computation. Honolulu, HI: IEEE, 2002(8):1636-1641.
  • 7Firbes J. Burkowski, proximity and priority: applying a gene expression algorithm to the traveling salesperson problem [C]// International Parallel and Distributed Processing Symposium. Nice:IEEE, 2003,30(5): 803 - 816.
  • 8Lin S, Kernighan B W. An effective heuristic algorithm for the traveling-salesman problem[J]. Operations Re search, 1973,21(2) :498-516.
  • 9He Xiaoxian, Zhu Yunlong, Hu Hechun. A new algo rithm for TSP based on swarm intelligence[C]// Proceeding of the 6th World Congress on Intelligent Cont reland Automation. Dalian: IEEE, 2006 :3241 -- 3244.
  • 10Dorigo M,Maniezzo V,Colorni A.The ant system:optimization by a colony of cooperating agents[J].IEEE Trans.on Systems,Man and Cybernetics,1996,1 (26):29-41.

共引文献148

同被引文献13

引证文献1

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部