A Comparative Study of Proposed Genetic Algorithm-Based Solution with Other Algorithms for Time-Dependent Vehicle Routing Problem with Time Windows for E-Commerce Supply Chain

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ISSN Print: 1940-9893
ISSN Online: 1940-9907
www.scirp.org/journal/jssm
E-mail: jssm@scirp.org

"A Comparative Study of Proposed Genetic Algorithm-Based Solution with Other Algorithms for Time-Dependent Vehicle Routing Problem with Time Windows for E-Commerce Supply Chain"
written by Suresh Nanda Kumar, Ramasamy Panneerselvam,
published by Journal of Service Science and Management, Vol.8 No.6, 2015

has been cited by the following article(s):

[1]	Direct and indirect emissions: a bi-objective model for hybrid vehicle routing problem
	Journal of Business Economics, 2024

[2]	Hybrid Metaheuristics for Last-mile Delivery Scheduling and Rescheduling
	Proceedings of the 2023 4th International Conference …, 2023

[3]	Intelligent Blanking of Silicon Steel Coil in a Transformer Core Oriented to Green Manufacturing
	Applied Sciences, 2022

[4]	Multi-type ant system algorithm for the time dependent vehicle routing problem with time windows
	2018

[5]	Development of an Efficient Genetic Algorithm for the Time Dependent Vehicle Routing Problem with Time Windows
	2016

[1]	Direct and indirect emissions: a bi-objective model for hybrid vehicle routing problem Journal of Business Economics, 2023 DOI:10.1007/s11573-023-01168-2

[2]	Hybrid Metaheuristics for Last-mile Delivery Scheduling and Rescheduling Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management, 2023 DOI:10.1145/3659211.3659293

[3]	Development of an Efficient Genetic Algorithm for the Time Dependent Vehicle Routing Problem with Time Windows American Journal of Operations Research, 2017 DOI:10.4236/ajor.2017.71001

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