Solution to Multi-Objective GVRP With Genetic Algorithm and Time Window

The worldwide awareness of sustainable development during the past few decades has pushed organizations to incorporate sustainability within their supply chain operations. The Logistics division of the supply chain management was already significantly affected, resulting in a change in conventional vehicle routing problem (VRP) goals towards minimizing environmental effect of transportation. Green vehicle routing Optimization has been used to help minimize the unfavourable impacts on the environment due to supply chains. The GVRP is of great importance to policymakers who want to decrease emissions of GHGs. This research introduces a methodology for optimising the route of the AFVs with the aim of minimizingoperating costs and CO
2
emissions in the manner of an overall cost incurred. This research work has proposed a GA-based solution for solving the Green Vehicle Routing Problem that can be regarded as a basic model for alternative-fuel vehicles routing optimization. The research was focused on genetic algorithm (GA) design and optimization to address the problem formulation utilising sample cases.