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All Projects → Nikronic → Optimized-MDVRP

Nikronic / Optimized-MDVRP

Licence: MIT license
"Using Genetic Algorithms for Multi-depot Vehicle Routing" paper implementation.

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python
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Labels

evolutionary-algorithmsmulti-objective-optimizationgenetic-algorithmsmdvrpmulti-depots

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Optimized-MDVRP

"Using Genetic Algorithms for Multi-depot Vehicle Routing" paper implementation.

Github Action Status

MDVRP is a multi-objective optimization task that the goal is to assign a number of vehicles which are distributed in multi depots in search to the customers meanwhile minimizing the number of car used and distance traveled regarding some constraints such as vehicle weight threshold.

First, initial attempt was implementing the Using Genetic Algorithms for Multi-depot Vehicle Routing paper, but I noticed that the algorithm could be refined in many aspects, so I applied the desired modification in mutation and replacement so that I achieved better results in term of metrics provided in the original paper.

This project was part of the Computational Intelligence course.

Citation

Please cite this project as:

Nikan Doosti. (2020). Nikronic/Optimized-MDVRP: DOI Release (v0.1-alpha). Zenodo. https://doi.org/10.5281/zenodo.3838616

DOI

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