A Fuel Efficient Green Vehicle Routing Problem with varying speed constraint (F-GVRP). (15th June 2018)

• Record Type: Journal Article
• Authors: Poonthalir, G.; Nadarajan, R.
• Is Part Of: Expert systems with applications. Volume 100(2018)
• Page Start: 131
• Page End: 144
• Publication Date: 2018-06-15
• Subjects: Green Vehicle Routing Problem -- Bi-objective optimization -- Particle Swarm Optimization; Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2018.01.052
• Languages: English
• ISSNs: 0957-4174

Abstract

Highlights: A Fuel Efficient Green VRP is introduced. Objective is route cost and fuel consumption minimization. Problem is modelled with time varying speed constraint. Results are competitive with published results with minimum fuel consumption. Abstract: A bi-objective Fuel efficient Green Vehicle Routing Problem (F-GVRP) with varying speed constraint is discussed in this paper as an extension of Green Vehicle Routing Problem (G-VRP). F-GVRP is modelled to minimize both route cost and fuel consumption using goal programming. The problem is solved using Particle Swarm Optimization with Greedy Mutation Operator and Time varying acceleration coefficient (TVa-PSOGMO). The objective of this paper is to study the behaviour of F-GVRP under varying speed environment and its impact on the route cost and fuel consumption. Experiments are conducted with constant and varying speed constraints and it is observed that better routing plan with minimum fuel consumption can be achieved under varying speed environment.