Routing Optimization for Container Dispatching Operations

2018 ◽  
pp. 922-936
Author(s):  
Hasibe Serap Baş ◽  
Ayşe Tolan ◽  
Mahmut Ali Gökçe ◽  
Cansu Yurtseven
Keyword(s):  
Routing Optimization

Routing Optimization with Efficient Second Order Distributed Approach Using Congestion Control Rules

2017 ◽  
Vol 7 (7) ◽  
pp. 363
Author(s):  
Jaya Pratha Sebastiyar ◽  
Martin Sahayaraj Joseph
Keyword(s):  
Congestion Control ◽  
Second Order ◽  
Back Pressure ◽  
Order Method ◽  
Delay Performance ◽  
Routing Optimization ◽  
Distributed Approach ◽  
Control Rules ◽  
Primal Dual ◽  
Queue Stability

Distributed joint congestion control and routing optimization has received a significant amount of attention recently. To date, however, most of the existing schemes follow a key idea called the back-pressure algorithm. Despite having many salient features, the first-order sub gradient nature of the back-pressure based schemes results in slow convergence and poor delay performance. To overcome these limitations, the present study was made as first attempt at developing a second-order joint congestion control and routing optimization framework that offers utility-optimality, queue-stability, fast convergence, and low delay.  Contributions in this project are three-fold. The present study propose a new second-order joint congestion control and routing framework based on a primal-dual interior-point approach and established utility-optimality and queue-stability of the proposed second-order method. The results of present study showed that how to implement the proposed second-order method in a distributed fashion.

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.

Routing Optimization of Electric Vehicles for Charging With Event-Driven Pricing Strategy

2021 ◽  
pp. 1-14
Author(s):  
Yue Xiang ◽  
Jianping Yang ◽  
Xuecheng Li ◽  
Chenghong Gu ◽  
Shuai Zhang
Keyword(s):  
Electric Vehicles ◽  
Pricing Strategy ◽  
Routing Optimization ◽  
Event Driven

Bus Routing Optimization Helps Boston Public Schools Design Better Policies

2020 ◽  
Vol 50 (1) ◽  
pp. 37-49
Author(s):  
Dimitris Bertsimas ◽  
Arthur Delarue ◽  
William Eger ◽  
John Hanlon ◽  
Sebastien Martin
Keyword(s):  
Public Schools ◽  
Boston Public Schools ◽  
Bus Routing ◽  
Routing Optimization
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