A hybrid of K-means and genetic algorithm to solve a bi-objective green delivery and pick-up problem

Soroush Fatemi-AnarakiSchool Of Industrial Engineering, College Of Engineering, University Of Tehran, Tehran, Iran

Mahdi MokhtarzadehSchool Of Industrial Engineering, College Of Engineering, University Of Tehran, Tehran, IranCorrespondence[email protected]

Masoud RabbaniSchool Of Industrial Engineering, College Of Engineering, University Of Tehran, Tehran, Iran

Dorsa AbdolhamidiSchool Of Industrial Engineering, College Of Engineering, University Of Tehran, Tehran, Iran

https://orcid.org/0000-0003-3025-3626

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Kongkidakhon Worasan, Kanchana Sethanan, Karn Moonsri & Paulina Golinska-Dawson. (2022) The multi-product vehicle routing problem with cross-docking: a novel strategy hybrid bat algorithm for Industry 3.5 in Thailand's food industry. International Journal of Logistics Research and Applications 0:0, pages 1-25.
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Alejandro Fernández Gil, Eduardo Lalla-Ruiz, Mariam Gómez Sánchez & Carlos Castro. (2022) A Review of Heuristics and Hybrid Methods for Green Vehicle Routing Problems considering Emissions. Journal of Advanced Transportation 2022, pages 1-38.
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Su Zhang. (2022) The Cognitive Transformation of Japanese Language Education by Artificial Intelligence Technology in the Wireless Network Environment. Computational Intelligence and Neuroscience 2022, pages 1-10.
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A hybrid of K-means and genetic algorithm to solve a bi-objective green delivery and pick-up problem

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A hybrid of K-means and genetic algorithm to solve a bi-objective green delivery and pick-up problem

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