Research on logistics Route Optimization based on AFSA
DOI:
https://doi.org/10.54097/fcis.v3i3.7988Keywords:
Logistics, Route optimization, Artificial fish swarm algorithmAbstract
Based on the characteristics of logistics goods, in the process of logistics to choose a reasonable or optimal path, will save more logistics costs. In the process of using artificial fish swarm algorithm to find the optimal path planning, through the artificial fish swarm algorithm to improve the visual range, congestion factor and other factors, and record and mark the feasible solution, the target point of the fish swarm trajectory, form the feasible solution of the path planning and select the best solution, to achieve the optimal logistics path, reduce the cost of goods logistics.
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References
Zhu Daqi, Yan Mingzhong. [2010].Review of Path Planning Technology for Mobile Robot. Control and Decision, 25(07), 961-967.
LI Qing, XU Yinmei, ZHANG Dezheng, Yin Yixin. [2010]. Global Path Planning Strategy for Mobile Robot Based on Particle Swarm Optimization.Journal of University of Science and Technology Beijing, 32(3), 397-402.
JIANG Ming, Wang Heng, Zhang Hua, Xie Xingzhe. [2011].Application of Improved Genetic Algorithm in Global Path Planning of Mobile Robot. Computer Applications and Software. (08), 113-116.
Guo Wei, Qin Guoxuan, Wang Lei, Sun Rijie.[2019].Robot Path Planning Based on Improved Artificial Fish Swarm Algorithm and MAKLINK Graph. Control and Decision.(6),1-8.
Tharwat A, Elhoseny M, Hassanien A, Gabel T, Kumar A.[2018].Intelligent bezier curve-based path planning model using chaotic particle swarm optimization algorithm[J].Cluster Computing, 3,1-22.
Zhao Xiao, Wang Zheng, Huang Chengkan, Zhao Yanwei.[2018].Path Planning of Mobile Robot Based on Improved A* Algorithm. Robot, (06),903-910.
WANG Hui, HUANG Yiqing, Liu Xiaofeng.[2019].Path Planning of Mobile Robot Based on Detection Operator Experiential Learning Fish Swarm Algorithm. Journal of Anhui Institute of Technology,34(01),13-20.
Chen T B, Zhang P, Gao S , Zhang Q S.[2018].Research on the dynamic target distribution path planning in logistics system based on improved artificial potential field method-fish swarm algorithm[C]. 2018 Chinese Control And Decision Conference (CCDC). Shenyang: IEEE,7,4388-4391.
Zhang Mingxing, Wang Peng, Bai Yanping, Hou Yuchao.[2019].Array Signal DOA Estimation Based on IAFSA-MUSIC Algorithm. Mathematics in Practice and Cognition, 49 (22) ,163-170.
YU Zhuoxi, JIN Yujia.[2018].Parameter estimation of regression Model based on improved artificial fish swarm Algorithm. Statistics and Decision,34(22),75-77.
Luo Ruxue, Chen Miaona, Lin Jican. [2020] Path Planning of Robot Based on Improved Artificial Fish Swarm Algorithm. Science Technology and Engineering,20(23),9455-9449.
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