使,

Shengdong Mu1,2,3, Boyu Liu4, Gu Jijian2

  • 1Collaborative Innovation Center of Green Development in the Wuling Shan Region, Yangtze Normal University, Chongqing, 408100, China.

Scientific reports
|October 31, 2024
PubMed
概括

本研究介绍了一种改进的遗传算法 (GA),用于在不同的条件和碳税下优化物流路线. 增强的GA显著加快了融合速度,并减少了车辆路径优化计算时间.

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