An Archive-Based Multi-Objective Simulated Annealing Algorithm for the Time/Weight-Balanced Cluster Problem in Delivery Logistics-Reference-Cited by-同舟云学术

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An Archive-Based Multi-Objective Simulated Annealing Algorithm for the Time/Weight-Balanced Cluster Problem in Delivery Logistics

Published:2023-07-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Congress on Evolutionary Computation (CEC)
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Author:

Ceja-Cruz Eduardo Manuel¹,Menchaca-Méndez Adriana¹,Montero Elizabeth²,Zapotecas-Martínez Saúl³

Affiliation:

1. UNAM Morelia,Technologies for Information in Sciences ENES Unidad Morelia,Michoacán,Mexico

2. Universidad Técnica Federico Santa Mariá,Departamento de Informática,Valparaiso,Chile

3. Instituto Nacional de Astrofisica Óptica y Electrónica Tonantzintla,Computer Science Department,Puebla,Mexico

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10253662/10253666/10253992.pdf?arnumber=10253992

Reference43 articles.

1. A practical application of simulated annealing to clustering

2. An algorithm to compute time-balanced clusters for the delivery logistics problem

3. A simulated annealing algorithm for the clustering problem

4. Successive Binary Partition K-means Method for Clustering with Less Cluster Size Bias

5. A simulated annealing algorithm with a dual perturbation method for clustering

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