scholarly journals Research on Path Optimization Problem Based on Satisfaction Degree in Fuzzy Demand Environment

2021 ◽  
Vol 1955 (1) ◽  
pp. 012056
Author(s):  
Chen Xia Jin ◽  
Yan Zhang ◽  
Fa Chao Li
Keyword(s):  
Optimization Problem ◽  
Path Optimization ◽  
Satisfaction Degree ◽  
Fuzzy Demand

Agricultural Optimization of Cold-Chain Logistics Distribution Routing Based on PSO

2013 ◽  
Vol 756-759 ◽  
pp. 3941-3945 ◽  
Author(s):  
Wei Yang ◽  
Qian Zhang ◽  
Guo Dong Li
Keyword(s):  
Optimization Problem ◽  
Particle Swarm Optimization Algorithm ◽  
Optimization Method ◽  
Agricultural Products ◽  
Path Optimization ◽  
Cold Chain ◽  
Swarm Optimization ◽  
Logistics Distribution ◽  
Routing Optimization ◽  
Definition Of

The definition of the cold chain logistics and the problem of the agricultural cold chain logistics are introduced. According to the characteristics of cold chain logistics, exploring the cold chain logistics distribution path optimization method. Based on the model of the agricultural products cold chain logistics distribution routing optimization, particle swarm optimization algorithm is constructed to solve the optimization problem. Taking an example, the results have been conducted finally to demonstrate the effectiveness of the algorithm for agricultural products cold chain logistics distribution routing optimization problem.

Research on Path Optimization Problem for Parallel Multi-carousels System

2013 ◽  
Vol 5 (7) ◽  
pp. 1085-1093
Author(s):  
Xuefeng Zhao ◽  
Lin He ◽  
Jianqing Li ◽  
Jiang Hu ◽  
Jiawei Dong ◽  
...  
Keyword(s):  
Optimization Problem ◽  
Path Optimization

GA Implementation Path Optimization of Pneumatic Marking System

2013 ◽  
Vol 391 ◽  
pp. 390-393
Author(s):  
Lei Shao ◽  
Hai Bin Zuo ◽  
Nan Liu
Keyword(s):  
Genetic Algorithm ◽  
Optimization Algorithm ◽  
Optimization Problem ◽  
Path Optimization ◽  
Matlab Simulation

According to the characteristics of pneumatic marking system, and the typing path was seen as a TSP problem. After comparing the Dijkstra optimization algorithm of marking path results, and applying the genetic algorithm (GA) to analysis, research, and solve the optimization problem, reasonable to get print needle typing path. In this case, printing mark time was shorten as much as possible. It was proved by MATLAB simulation that the study can solve the problem of path optimization and improve the efficiency of marking greatly.

scholarly journals Research on the Path Optimization Problem of Multi-Centre Distribution System

2018 ◽  
Vol 232 ◽  
pp. 04034
Author(s):  
Kai-lun HE ◽  
Yi DING ◽  
Hui-long SUN
Keyword(s):  
Genetic Algorithm ◽  
Distribution System ◽  
Optimization Problem ◽  
Path Optimization ◽  
Routing Problem ◽  
Actual Environment ◽  
Distribution Cost

Based on the actual environment, the routing problem of multi centre distribution system is theoretically described and analyzed, and a genetic algorithm for solving the problem is proposed and verified by an example. The research shows that the genetic algorithm can be used effectively to optimize the distribution path and reduce the distribution cost. At the same time, the program is easy to operate and is convenient for the enterprise to apply.

Based on Genetic Algorithm Research of Stocker Picking Shortest Path

2012 ◽  
Vol 155-156 ◽  
pp. 186-190
Author(s):  
Fu Cai Wan ◽  
Duo Chen ◽  
Yong Qiang Wu
Keyword(s):  
Genetic Algorithm ◽  
Shortest Path ◽  
Optimization Problem ◽  
Traveling Salesman ◽  
Path Optimization ◽  
Improved Genetic Algorithm ◽  
Operating Process ◽  
Path Distance ◽  
Simulation Results ◽  
The Mathematical Model

This paper analyzes characteristics of automated warehouse stocker picking operating process. Path optimization problem is considered as traveling salesman problem. The coordinates of picking points by calculating determine a stocker running route. The mathematical model of a path distance is built. And using the improved genetic algorithm solves the above problem. Finally, M-file program of stocker running path optimization is written and run in MATLAB. The simulation results that, in solving stocker path optimization problem, it can search for a shortest path by genetic algorithm. Thereby enhance the efficiency of automated warehouse system, increase greater benefits of the enterprise.

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