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.

The Application of a Improved Hybrid Ant Colony Algorithm in Vehicle Routing Optimization Problem

2014 ◽  
Vol 556-562 ◽  
pp. 4693-4696
Author(s):  
Yue Li Li ◽  
Ai Hua Ren
Keyword(s):  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Ant Colony System ◽  
Routing Problem ◽  
Logistics Industry ◽  
Routing Optimization ◽  
Constrained Vehicle Routing ◽  
Capacity Constrained

With the development of the market economy, the logistics industry has been developed rapidly.It is easy to understand that good vehicle travel path planning has very important significance in the logistics company,especially in the general production enterprises. This paper mainly studies the microcosmic traffic system in the type of vehicle routing problems: capacity-constrained vehicle routing problem. We demonstrate the use of Ant Colony System (ACS) to solve the capacitated vehicle routing problem, treated as nodes in a spatial network. For the networks where the nodes are concentrated, the use of hybrid heuristic optimization can greatly improve the efficiency of the solution. The algorithm produces high-quality solutions for the capacity-constrained vehicle routing problem.

The Application of a Improved Hybrid Ant Colony Algorithm in Vehicle Routing Optimization Problem

2014 ◽  
Vol 556-562 ◽  
pp. 4005-4008
Author(s):  
Yue Li Li ◽  
Ai Hua Ren
Keyword(s):  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Ant Colony System ◽  
Routing Problem ◽  
Logistics Industry ◽  
Routing Optimization ◽  
Constrained Vehicle Routing ◽  
Capacity Constrained

With the development of the market economy, the logistics industry has been developed rapidly.It is easy to understand that good vehicle travel path planning has very important significance in the logistics company,especially in the general production enterprises. This paper mainly studies the microcosmic traffic system in the type of vehicle routing problems: capacity-constrained vehicle routing problem. We demonstrate the use of Ant Colony System (ACS) to solve the capacitated vehicle routing problem, treated as nodes in a spatial network. For the networks where the nodes are concentrated, the use of hybrid heuristic optimization can greatly improve the efficiency of the solution. The algorithm produces high-quality solutions for the capacity-constrained vehicle routing problem.

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.

Pheromone-Based Ant Colony Algorithm for Optimal Proliferation of Research

2013 ◽  
Vol 734-737 ◽  
pp. 3152-3157
Author(s):  
Lei Lei Deng
Keyword(s):  
Optimization Design ◽  
Ant Colony Algorithm ◽  
Optimization Problems ◽  
Climatic Conditions ◽  
Water Saving ◽  
Ant Colony ◽  
Path Model ◽  
Route Optimization ◽  
Path Optimization ◽  
Field Plots

In order to realize the water-saving irrigation of field plots path pipeline deployment management and control, the pheromone of ant colony algorithm for optimization design of. Ant colony algorithm (ACA) is a kind of Bionic Engineering with the development of the optimization algorithm, is mainly based on ant foraging in the search for the shortest path model and form. This article attempts in the existing ant colony algorithm combinatorial optimization of real defect on the basis of field plots, to coordinate as a data source, An improved ant colony algorithm for field plots wiring path design, thereby improving the ant colony algorithm in an iterative process to update the optimal solution ability, Finally in the same number of iterations to find path shorter, cost less rules, solve agricultural water-saving irrigation pipeline path optimization deployment problem. And in the VC++ program validation path optimization problems. The test results show that, under the same climatic conditions, route optimization design results can be deployed for water saving irrigation pipeline layout management provides reference basis and data support.

Enterprise distribution routing optimization with soft time windows based on genetic algorithm

2021 ◽  
pp. 1-11
Author(s):  
Kaixian Gao ◽  
Guohua Yang ◽  
Xiaobo Sun
Keyword(s):  
Genetic Algorithm ◽  
Customer Satisfaction ◽  
Optimization Problems ◽  
Rapid Development ◽  
Time Windows ◽  
Theory And Practice ◽  
Routing Problem ◽  
Logistics Industry ◽  
Routing Optimization ◽  
A Company

With the rapid development of the logistics industry, the demand of customer become higher and higher. The timeliness of distribution becomes one of the important factors that directly affect the profit and customer satisfaction of the enterprise. If the distribution route is planned rationally, the cost can be greatly reduced and the customer satisfaction can be improved. Aiming at the routing problem of A company’s vehicle distribution link, we establish mathematical models based on theory and practice. According to the characteristics of the model, genetic algorithm is selected as the algorithm of path optimization. At the same time, we simulate the actual situation of a company, and use genetic algorithm to plan the calculus. By contrast, the genetic algorithm suitable for solving complex optimization problems, the practicability of genetic algorithm in this design is highlighted. It solves the problem of unreasonable transportation of A company, so as to get faster efficiency and lower cost.

The Research of Emergency Logistics Routing Optimization Based on Improved Ant Colony Optimization

2012 ◽  
Vol 482-484 ◽  
pp. 2519-2523
Author(s):  
Teng Fei ◽  
Li Yi Zhang ◽  
Yun Shan Sun ◽  
Hong Wei Ren
Keyword(s):  
Mathematical Model ◽  
Ant Colony Algorithm ◽  
Model Solution ◽  
Ant Colony ◽  
Traffic Situation ◽  
Logistics System ◽  
Logistics Distribution ◽  
Routing Optimization ◽  
Emergency Logistics ◽  
Improved Ant Colony Algorithm

Emergency logistics system contains information on material reserves, emergency command and emergency distribution. In this paper, the aspect of emergency distribution only is analyzed in microscopic, mathematical model of emergency logistics distribution has been established in considering the traffic situation and shortage degree. On the aspect of model solution, improved ant colony algorithm, which can enhance the selectivity of finding the best solution in emergency logistics distribution routing, is used in solving the model.

scholarly journals Analysis of total carbon emission of the logistics industry in Guangdong and solutions to emission reduction

2021 ◽  
Vol 245 ◽  
pp. 01020
Author(s):  
Aixia Xu ◽  
Xiaoyong Yang
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Energy Utilization ◽  
Total Carbon ◽  
Utilization Rate ◽  
Low Carbon ◽  
Logistics Industry ◽  
Direct Energy ◽  
Reduce Emissions

The input-output method is employed in this study to measure the total carbon emission of the logistics industry in Guangdong. The findings revealed that the carbon emission of direct energy consumption of the logistics industry in Guangdong is far above the actual carbon emissions, the second and third industries play a significant role in carbon emission of indirect energy consumption in the logistics industry in Guangdong. To reduce energy consumption and carbon emissions in Guangdong, it is not only important to control the carbon emissions in the logistics industry, but strengthen carbon emission detection in relevant industries, improve the energy utilization rate and reduce emissions in other industries, and move towards low-carbon sustainable development.

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