Carbon pricing initiatives-based bi-level pollution routing problem

2020 ◽  
Vol 286 (1) ◽  
pp. 203-217 ◽  
Author(s):  
Rui Qiu ◽  
Jiuping Xu ◽  
Ruimin Ke ◽  
Ziqiang Zeng ◽  
Yinhai Wang
Keyword(s):  
Carbon Pricing ◽  
Routing Problem ◽  
Pollution Routing Problem

Multi-objective optimization for the reliable pollution-routing problem with cross-dock selection using Pareto-based algorithms

2020 ◽  
Vol 276 ◽  
pp. 122927 ◽  
Author(s):  
Erfan Babaee Tirkolaee ◽  
Alireza Goli ◽  
Amin Faridnia ◽  
Mehdi Soltani ◽  
Gerhard-Wilhelm Weber
Keyword(s):  
Multi Objective Optimization ◽  
Routing Problem ◽  
Multi Objective ◽  
Pollution Routing Problem

scholarly journals A matheuristic approach for the Pollution-Routing Problem

2015 ◽  
Vol 243 (2) ◽  
pp. 523-539 ◽  
Author(s):  
Raphael Kramer ◽  
Anand Subramanian ◽  
Thibaut Vidal ◽  
Lucídio dos Anjos F. Cabral
Keyword(s):  
Routing Problem ◽  
Pollution Routing Problem

The Pollution-Routing Problem

2011 ◽  
Vol 45 (8) ◽  
pp. 1232-1250 ◽  
Author(s):  
Tolga Bektaş ◽  
Gilbert Laporte
Keyword(s):  
Routing Problem ◽  
Pollution Routing Problem

scholarly journals Pollution routing problem with time window and split delivery

2019 ◽  
Author(s):  
Sameh M. Saad ◽  
Ramin Bahadori
Keyword(s):  
Mathematical Model ◽  
Vehicle Routing ◽  
Carbon Dioxide Emissions ◽  
Co2 Emission ◽  
Simulated Annealing Algorithm ◽  
Time Window ◽  
Time Windows ◽  
Routing Problem ◽  
Split Delivery ◽  
Pollution Routing Problem

In most classic vehicle routing problems, the main goal is to minimise the total travel time or distance while, the green vehicle routing problem, in addition to the stated objectives, also focuses on minimising fuel costs and greenhouse gas emissions, including carbon dioxide emissions. In this research, a new approach in Pollution Routing Problem (PRP) is proposed to minimise the CO2 emission by investigating vehicle weight fill level in length of each route. The PRP with a homogeneous fleet of vehicles, time windows, considering the possibility of split delivery and constraint of minimum shipment weight that must be on the vehicle in each route is investigated simultaneously. The mathematical model is developed and implemented using a simulated annealing algorithm which is programmed in MATLAB software. The generated results from all experiments demonstrated that the application of the proposed mathematical model led to the reduction in CO2 emission.

A Simulated Annealing Heuristic for the Heterogeneous Fleet Pollution Routing Problem

2018 ◽  
pp. 171-204 ◽  
Author(s):  
Vincent F. Yu ◽  
A. A. N. Perwira Redi ◽  
Parida Jewpanya ◽  
Artya Lathifah ◽  
Meilinda F. N. Maghfiroh ◽  
...  
Keyword(s):  
Simulated Annealing ◽  
Routing Problem ◽  
Heterogeneous Fleet ◽  
Pollution Routing Problem

The time-dependent pollution-routing problem

2013 ◽  
Vol 56 ◽  
pp. 265-293 ◽  
Author(s):  
Anna Franceschetti ◽  
Dorothée Honhon ◽  
Tom Van Woensel ◽  
Tolga Bektaş ◽  
Gilbert Laporte
Keyword(s):  
Time Dependent ◽  
Routing Problem ◽  
Pollution Routing Problem
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