[PDF][PDF] Vehicle routing problem with time window constrain using KMeans clustering to obtain the closest customer

JKC Revanna, NYB Al-Nakash - Global Journal of Computer …, 2022 - researchgate.net
Global Journal of Computer Science and Technology, 2022researchgate.net
In this paper, the problem statement is solving the Vehicle Routing Problem with Time
Window constraint using the Ant Colony Algorithm with K-Means Clustering. In this problem,
the vehicles must start at a common depot, pickup from various warehouses, deliver to the
respective nodes within the time window defined by the customer and return back to the
depot. The objectives defined are to reduce number of vehicles employed, the total logistics
cost and to reduce carbon emissions. The mathematical model described in this paper has …
Abstract
In this paper, the problem statement is solving the Vehicle Routing Problem with Time Window constraint using the Ant Colony Algorithm with K-Means Clustering. In this problem, the vehicles must start at a common depot, pickup from various warehouses, deliver to the respective nodes within the time window defined by the customer and return back to the depot. The objectives defined are to reduce number of vehicles employed, the total logistics cost and to reduce carbon emissions. The mathematical model described in this paper has considered multiple pickup and multiple delivery points. The proposed solution of this paper aims to provide better and more efficient solution while minimizing areas of conflict so as to provide the best output on a large scale.
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