首页> 中文期刊> 《蚌埠学院学报》 >基于改进遗传算法的冷链物流路径优化研究

基于改进遗传算法的冷链物流路径优化研究

         

摘要

针对冷链物流配送优化问题,以配送成本最低、运输路径最优为目标,发现冷链物流存在配送成本较高、配送路径待优化等问题,基于此,提出路径优化的论点。考虑货损成本和惩罚成本,构建带时间窗的配送模型,并选用遗传算法作为路径优化的算法基础,引入Tent混沌映射对种群加以扰动,对算法各算子模块作改进,得到改进遗传算法,并以淮南田家庵区苏果超市冷链配送为例,验证了算法的有效性和优越性。%For the cold chain logistics distribution optimization problem ,with the lowest cost of distribution and the optimal transportation path as the goal ,it analyzed some problems in this paper such as the distri-bution cost of cold-chain logistics is very high and distribution path waits to be further optimized ,then it put forward some research arguments based on these problems .Considering the damage cost and punish-ment cost ,it constructed a distribution model with time Windows and used genetic algorithm as path opti-mization algorithm .It brought in the Tent chaos mapping to perturbance population ,and improved opera-tors of the algorithm to get the improved genetic algorithm .Finally through the example of Suguo super-market in Tianjiaan area of Huainan city on cold-chain distribution problem ,simulation consequence veri-fied the validity and superiority of the algorithm .

著录项

相似文献

  • 中文文献
  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号