A Genetic Algorithm for a Green Vehicle Routing Problem
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|Title:||A Genetic Algorithm for a Green Vehicle Routing Problem||Authors:||Oliveira, Paulo Roberto da Costa
|Permanent link:||http://hdl.handle.net/10197/8702||Date:||28-Feb-2017||Abstract:||We propose a Genetic Algorithm (GA) to address a Green Vehicle Routing Problem (G-VRP). Unlike classic formulations of the VRP, this study aims to minimise the CO 2 emissions per route. The G-VRP is of interest to policy makers who wish to reduce greenhouse gas emissions. The GA is tested on a suite of benchmark, and real-world instances which include road speed and gradient data. Our solution ap- proach incorporates elements of local and population search heuristics. Solutions are compared with routes currently used by drivers in a courier company. Reductions in emissions are achieved without incurring additional operational costs.||Type of material:||Conference Publication||Keywords:||Green vehicle routing problem; Genetic algorithms||Language:||en||Status of Item:||Peer reviewed||Conference Details:||International Network Optimization Conference 2017 (INOC 2017), Lisboa, Portugal, 26-28 February 2017|
|Appears in Collections:||Business Research Collection|
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