scholarly journals Hybrid fruit fly optimization algorithm for solving multi-compartment vehicle routing problem in intelligent logistics

2018 ◽  
Vol 13 (4) ◽  
pp. 466-478 ◽  
Author(s):  
C.L. Wang ◽  
S.W. Li
Keyword(s):  
Vehicle Routing ◽  
Optimization Algorithm ◽  
Vehicle Routing Problem ◽  
Fruit Fly ◽  
Fruit Fly Optimization Algorithm ◽  
Routing Problem ◽  
Fruit Fly Optimization ◽  
Intelligent Logistics

scholarly journals An Effective Heuristic for Multidepot Low-Carbon Vehicle Routing Problem

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
LiLing Liu ◽  
LiFang Lai
Keyword(s):  
Vehicle Routing ◽  
Fuel Consumption ◽  
Fruit Fly ◽  
Local Optimum ◽  
Fruit Fly Optimization Algorithm ◽  
Low Carbon ◽  
Routing Problem ◽  
Solution Approach ◽  
Fruit Fly Optimization ◽  
Low Carbon Economy

Low-carbon economy has been a hot research topic in recent years. This paper firstly considers the vehicle load weight, the key factors affecting the fuel consumption, to establish the fuel consumption model, and then constructs the vehicle routing planning model in the last mile delivery with multiple depots within time windows. In order to solve this problem, we improve the classical fruit fly algorithm which is easy to fall into the local optimum, and the improved fruit fly optimization algorithm is designed and integrated with genetic algorithm. Computational results show that our solution approach is capable of solving instances with up to 48 customers and 4 different depots. The effectiveness and efficiency of the model and multigroup fruit fly algorithm are verified through case study.

Research on Enhancement Technology of Conveyor Belt Fault Images Based on Fruit Fly Optimization Algorithm

2014 ◽  
Vol 8 (1) ◽  
pp. 685-689
Author(s):  
Chunqing Ye ◽  
Changyun Miao ◽  
Xianguo Li ◽  
Yanli Yang
Keyword(s):  
Optimization Algorithm ◽  
Detection System ◽  
Fruit Fly ◽  
Conveyor Belt ◽  
Recognition Algorithm ◽  
Fruit Fly Optimization Algorithm ◽  
Fruit Fly Optimization ◽  
Wire Ropes ◽  
Fault Recognition ◽  
Steel Cord

In this research, we studied the fault recognition algorithm of steel cord conveyor belt, and obtained the wire ropes image by adopting the detection system of steel cord conveyor belt, so that the fault recognition algorithm of steel cord conveyor belt was proposed based on Fruit fly optimization algorithm. As we know that the fruit fly optimization algorithm is used for fault detection of the processing steel cord conveyor belt image and for obtaining the fault image. In the MATLAB environment, the algorithm process was designed and verified in terms of the effectiveness and accuracy. The experimental results show that with fast speed and high accuracy in detecting the fault image of steel cord conveyor belt rapidly and accurately, and in classifying scratch from fracture the proposed algorithm is suitable for the fault recognition of steel cord conveyor belt automatically.

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