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...

Celý popis

Podrobná bibliografia

Vydané v:	2023 IEEE Congress on Evolutionary Computation (CEC) s. 1 - 8
Hlavní autori:	Ceja-Cruz, Eduardo Manuel, Menchaca-Mendez, Adriana, Montero, Elizabeth, Zapotecas-Martinez, Saul
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.07.2023
Predmet:	Clustering algorithms clustering problem Computational efficiency Evolutionary computation Linear programming Logistics multi-objective optimization Simulated annealing Sorting
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!