Direct and indirect emissions: a bi-objective model for hybrid vehicle routing problem
Author:
Publisher
Springer Science and Business Media LLC
Subject
Economics and Econometrics,Business and International Management
Link
https://link.springer.com/content/pdf/10.1007/s11573-023-01168-2.pdf
Reference41 articles.
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3. Christie JS, Satir S (2006) Saving our energy sources and meeting Kyoto emission reduction targets while minimizing costs with application of vehicle logistics optimization. In: TAC/ATC 2006 Annual Conference and Exhibition of the Transportation Association of Canada: Transportation Without Boundaries
4. Ćirović G, Pamučar D, Božanić D (2014) Green logistic vehicle routing problem: Routing light delivery vehicles in urban areas using a neuro-fuzzy model. Expert Syst Appl. https://doi.org/10.1016/j.eswa.2014.01.005
5. Deb K et al (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evolut Comput. https://doi.org/10.1109/4235.996017
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