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

This paper introduces an archive-based multi- objective algorithm based on simulated annealing to deal with the time/weight-balanced cluster problem. In the presented paper, we adapted the necessary components into the Archive Multi- Objective Simulated Annealing (AMOSA) framework to deal appropriat...

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Veröffentlicht in:	2023 IEEE Congress on Evolutionary Computation (CEC) S. 1 - 8
Hauptverfasser:	Ceja-Cruz, Eduardo Manuel, Menchaca-Mendez, Adriana, Montero, Elizabeth, Zapotecas-Martinez, Saul
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.07.2023
Schlagworte:	Clustering algorithms clustering problem Computational efficiency Evolutionary computation Linear programming Logistics multi-objective optimization Simulated annealing Sorting
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