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A Fuel Efficient Green Vehicle Routing Problem with varying speed constraint (F-GVRP)

机译:具有可变速度限制(F-GVRP)的节油绿色车辆路线问题

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摘要

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. (C) 2018 Elsevier Ltd. All rights reserved.
机译:本文讨论了具有可变速度约束的双目标省油绿色车辆路径问题(F-GVRP),作为绿色车辆路径问题(G-VRP)的扩展。使用目标编程对F-GVRP建模,以最大程度地降低路线成本和油耗。使用带有贪婪变异算子和时变加速度系数(TVa-PSOGMO)的粒子群优化算法可以解决该问题。本文的目的是研究F-GVRP在变速环境下的行为及其对路线成本和燃油消耗的影响。在恒定和可变速度限制条件下进行实验,可以观察到在可变速度环境下,可以以最小的燃油消耗实现更好的路线计划。 (C)2018 Elsevier Ltd.保留所有权利。

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