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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16187
Title: A Hybrid Gain-Ant Colony Algorithm for Green Vehicle Routing Problem
Authors: Viswanathan, Sangeetha
Keywords: Computer Science
Ant colony optimization
Fruit fly optimization algorithm
Green vehicle routing problem
Pheromone gain
Issue Date: 2022
Publisher: IEEE
Abstract: Increasing carbon emissions, and thus footprint, is one of the main reasons for the imbalance in environmental sustainability, which is primarily contributed to transportation. Transportation is a core functionality of logistics distribution and supply chain. In this paper, a hybrid gain-ant colony optimization and fruit fly optimization algorithm for green vehicle routing problem is proposed to plan shortest paths with reduced total fuel consumption efficiently. The proposed algorithm was simulated using the Erdogan and Miller Hooks dataset and compared with best-known solutions and existing methods.
URI: https://ieeexplore.ieee.org/abstract/document/10068439
http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16187
Appears in Collections:Department of Computer Science and Information Systems

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