This study aims to develop a fuzzy c-means clustering heuristic to efficiently solve the CVRP with large numbers of customers by using cluster-first route- ...

Jan 3, 2021 · This work presents a new customized fuzzy c-means clustering approach for solving CVRP. The proposed approach is concerned with the clustering ...

This study aims to develop a fuzzy c-means clustering heuristic to efficiently solve the CVRP with large numbers of customers by using cluster-first ...

Fuzzy C-Means clustering is among the most successful clustering techniques available in the literature. The capacitated vehicle routing problem (CVRP) is ...

Abstract: Fuzzy C-Means (FCM) clustering technique is among the most effective partitional clustering algorithms available in the literature.

Shalaby, M. W. A., A. R. Mohammed, and S. Kassem, "Modified Fuzzy C-Means Clustering Approach to Solve the Capacitated Vehicle Routing Problem", 2020 21st ...

Modified Fuzzy C-Means Clustering Approach to Solve the Capacitated Vehicle Routing Problem. https://doi.org/10.1109/acit50332.2020.9300082.

Jul 12, 2022 · A memetic algorithm determines the number of clusters and an improved fuzzy c-means algorithm allocates customers to routes. When benchmarked ...

An improved genetic algorithm based on fuzzy C-means clustering (FCM) is proposed to solve the vehicle routing problem with capacity constraints.

Jun 20, 2021 · Fuzzy C-Means (FCM) clustering technique is among the most effective partitional clustering algorithms available in the literature.