International Journal of Soft Computing
ISSN: OnlineISSN: Print 1816-9503
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A Genetic Algorithm for Optimizing the Amount of Emissions of Greenhouse GAZ for Capacitated Vehicle Routing Problem in Green Transportation
El Bouzekri El Idrissi Adiba, El Hilali Alaoui Ahmed and Benadada Youssef
Page: 406-415 | Received 21 Sep 2022, Published online: 21 Sep 2022
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Abstract
In today’s highly competitive environment, green transportation issues are gaining interest from theoretical, political and social perspectives. Freight road transport that is one important aspect of environmentally responsible logistics is discussed in depth. The activity of transport causes a high rate of negative effects on the environment as pollutants emission (greenhouse gas). The immediate consequence of this effect is depletion of ozone layer and climate change that is the reason why researchers must been reducing the emissions from the sector. Nevertheless, the classical Capacitated Vehicle Routing Problem (CVRP) with the objective of minimizing the greenhouse gas especially the carbon dioxide (CO2), states for the problem of finding routes for vehicles to serve a set of customers while minimizing the total traveled distance and the CO2 emissions. Researchers present in this study the technique employed to estimate de CO2 emissions, the emissions matrix and integrate them into the CVRP Model and proposes a genetic algorithm to solve this problem. The effectiveness of this approach is tested on a well-known set of benchmarks and compared to other works from literature.
How to cite this article:
El Bouzekri El Idrissi Adiba, El Hilali Alaoui Ahmed and Benadada Youssef. A Genetic Algorithm for Optimizing the Amount of Emissions of Greenhouse GAZ for Capacitated Vehicle Routing Problem in Green Transportation.
DOI: https://doi.org/10.36478/ijscomp.2013.406.415
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2013.406.415