Diversity-based niche genetic algorithm for bi-objective mixed fleet vehicle routing problem with time window

With the gradual introduction of electric vehicles, logistics systems currently rely primarily on mixed fleets of electric and conventional vehicles to carry out distribution tasks. Given the differences in pollution emissions between electric and traditional vehicles, as well as the additional cons...

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Vydané v:	Neural computing & applications Ročník 37; číslo 17; s. 11479 - 11499
Hlavní autori:	Du, Shengli, Li, Shilong, Han, Honggui, Qiao, Junfei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer London 01.06.2025 Springer Nature B.V
Predmet:	Artificial Intelligence Carbon Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Electric vehicles Emissions Genetic algorithms Image Processing and Computer Vision Logistics Original Article Probability and Statistics in Computer Science Vehicle routing Mixed fleet vehicle routing problem Niche genetic algorithm Partial variable-length coding method Customer satisfaction
ISSN:	0941-0643, 1433-3058
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