scholarly journals Ocean Fishing Fleet Scheduling Path Optimization Model Research Based On Improved Ant Colony Algorithm

2016 ◽  
Author(s):  
Jia-Lin Li ◽  
Li-Juan Yu ◽  
Cheng-Ming Chen
Keyword(s):  
Optimization Model ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Path Optimization ◽  
Fishing Fleet ◽  
Model Research ◽  
Improved Ant Colony Algorithm

scholarly journals Contactless Distribution Path Optimization Based on Improved Ant Colony Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Feng Wu
Keyword(s):  
Customer Service ◽  
User Satisfaction ◽  
Ant Colony Algorithm ◽  
Time Window ◽  
Cost Model ◽  
Ant Colony ◽  
Path Optimization ◽  
Traffic Information ◽  
Research Areas ◽  
Improved Ant Colony Algorithm

In the context of the normalization of the epidemic, contactless delivery is becoming one of the most concerned research areas. In the severe epidemic environment, due to the frequent encounter of bayonet temperature measurement, road closure, and other factors, the real-time change frequency of each traffic information is high. In order to improve the efficiency of contactless distribution and enhance user satisfaction, this paper proposes a contactless distribution path optimization algorithm based on improved ant colony algorithm. First of all, the possible traffic factors in the epidemic environment were analyzed, and the cost of each link in the distribution process was modeled. Then, the customer satisfaction is analyzed according to the customer service time window and transformed into a cost model. Finally, the total delivery cost and user satisfaction cost were taken as the optimization objectives, and a new pheromone updating method was adopted and the traditional ant colony algorithm was improved. In the experiment, the effectiveness of the proposed model and algorithm is verified through the simulation optimization and comparative analysis of an example.

Research on Improved Ant Colony Algorithm for the Optimization of the Large Storage Picking Path Based on RFID

2012 ◽  
Vol 239-240 ◽  
pp. 1348-1351 ◽  
Author(s):  
Pei Zhi Wen ◽  
Yong Bo Wang ◽  
Li Fang Li
Keyword(s):  
Dynamic Response ◽  
High Precision ◽  
Ant Colony Algorithm ◽  
Parameter Selection ◽  
Ant Colony ◽  
Path Optimization ◽  
Response Strategy ◽  
Waiting Strategy ◽  
Candidate Set ◽  
Improved Ant Colony Algorithm

For the realtime updating and strong randomness of the information, large RFID-based warehousing picking path optimization job requires to make decision continuously. It is different from the traditional picking path Problem. This paper proposed an Improved Ant Colony algorithm in order to solve the optimization of the large storage picking path based on RFID. Distributed Strategy, Dynamic Response Strategy and Time Waiting Strategy are adopted to improve the candidate set, meanwhile, adjust operator and parameter selection. Experimental results show that the convergence speed of this algorithm with high precision, a better solution to the optimization of picking operation based on RFID.

scholarly journals The Research on Low Carbon Logistics Routing Optimization Based on DNA-Ant Colony Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Liyi Zhang ◽  
Ying Wang ◽  
Teng Fei ◽  
Hongwei Ren
Keyword(s):  
Carbon Emissions ◽  
Optimization Model ◽  
Ant Colony Algorithm ◽  
Optimization Problems ◽  
Ant Colony ◽  
Path Optimization ◽  
Low Carbon ◽  
Economic Activities ◽  
Logistics Industry ◽  
Routing Optimization

As the energy conservation and emission reduction and sustainable development have become the hot topics in the world, low carbon issues catch more and more attention. Logistics, which is one of the important economic activities, plays a crucial role in the low carbon development. Logistics leads to some significant issues about consuming energy and carbon emissions. Therefore, reducing energy consumption and carbon emissions has become the inevitable trend for logistics industry. Low carbon logistics is introduced in these situations. In this paper, from the microcosmic aspects, we will bring the low carbon idea in the path optimization issues and change the amount of carbon emissions into carbon emissions cost to establish the path optimization model based on the optimization objectives of the lowest cost of carbon emissions. According to different levels of air pollution, we will establish the double objectives path optimization model with the consideration of carbon emissions cost and economy cost. Use DNA-ant colony algorithm to optimize and simulate the model. The simulation indicates that DNA-ant colony algorithm could find a more reasonable solution for low carbon logistics path optimization problems.

Ant Colony Algorithm: an Application of Design Self-Balancing Torsion Bar

2011 ◽  
Vol 314-316 ◽  
pp. 1278-1281
Author(s):  
Zhi Qi Huang
Keyword(s):  
Optimization Model ◽  
Ant Colony Algorithm ◽  
Deformation Energy ◽  
The Self ◽  
Ant Colony ◽  
Allowable Stress ◽  
Maximum Deformation ◽  
Torsion Bar ◽  
Bar Diameter ◽  
Improved Ant Colony Algorithm

Using the improved Ant Colony Algorithm to optimize torsion bar diameter, and take the optimization results into practice. Results not only show the Ant Colony Algorithm is feasible and provides a new method choosing torsion bar diameter but also is satisfied.Based on maximum deformation energy and not exceeding the allowable stress values of a torsion-bar spring, the thesis builds the optimization model for the self-balancing torsion bar.

The Research about Simulated Annealing Ant Colony Algorithm in Emergency Logistics Path Optimization

2012 ◽  
Vol 482-484 ◽  
pp. 2470-2474 ◽  
Author(s):  
Li Yi Zhang ◽  
Teng Fei ◽  
Yun Shan Sun
Keyword(s):  
Simulated Annealing ◽  
Optimization Model ◽  
Economic Benefit ◽  
Ant Colony Algorithm ◽  
High Efficiency ◽  
Ant Colony ◽  
Path Optimization ◽  
Logistics Distribution ◽  
Emergency Logistics

Emergency logistics distribution, as an important role, is the key to the whole logistics. Emergency logistics is mainly reflected in emergency. For the disaster, economic benefit is not the first thing to be thought about. High efficiency is the key to emergency logistics. This article concentrates on path optimization of emergency logistics distribution. Propose emergency logistics distribution path optimization model which considers timeliness as the first goal. Utilize Simulated Annealing Ant Colony Algorithm to search for optimization. Based on simulation, Simulated Annealing Ant Colony Algorithm owns better timeliness to solve emergency logistics distribution.

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