A taxonomic review of metaheuristic algorithms for solving the vehicle routing problem and its variants
Recently, a taxonomic review of the Vehicle Routing Problem (VRP) literature published
between 2009 and June 2015 stated that most of the surveyed articles use metaheuristics …
between 2009 and June 2015 stated that most of the surveyed articles use metaheuristics …
The vehicle routing problem: State of the art classification and review
K Braekers, K Ramaekers… - Computers & industrial …, 2016 - Elsevier
Over the past decades, the Vehicle Routing Problem (VRP) and its variants have grown ever
more popular in the academic literature. Yet, the problem characteristics and assumptions …
more popular in the academic literature. Yet, the problem characteristics and assumptions …
Energy management in plug-in hybrid electric vehicles: Recent progress and a connected vehicles perspective
Plug-in hybrid electric vehicles (PHEVs) offer an immediate solution for emissions reduction
and fuel displacement within the current infrastructure. Targeting PHEV powertrain …
and fuel displacement within the current infrastructure. Targeting PHEV powertrain …
Hybrid particle swarm optimization algorithm for solving the clustered vehicle routing problem
This paper considers a variant of the classical capacitated vehicle routing problem called
clustered vehicle routing problem (CluVRP). In CluVRP, customers are grouped into …
clustered vehicle routing problem (CluVRP). In CluVRP, customers are grouped into …
Heuristics for multi-attribute vehicle routing problems: A survey and synthesis
The attributes of vehicle routing problems are additional characteristics or constraints that
aim to better take into account the specificities of real applications. The variants thus formed …
aim to better take into account the specificities of real applications. The variants thus formed …
A parallel simulated annealing method for the vehicle routing problem with simultaneous pickup–delivery and time windows
This paper addresses a variant of the vehicle routing problem in which customers require
simultaneous pickup and delivery of goods during specific individual time windows …
simultaneous pickup and delivery of goods during specific individual time windows …
A novel multi population based particle swarm optimization for feature selection
Feature selection is an integral part of any machine learning system and the success of such
systems highly depends on the relevance of features with the target domain. Feature …
systems highly depends on the relevance of features with the target domain. Feature …
Electric vehicle route optimization considering time-of-use electricity price by learnable partheno-genetic algorithm
H Yang, S Yang, Y Xu, E Cao, M Lai… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
In the context of energy saving and carbon emission reduction, the electric vehicle (EV) has
been identified as a promising alternative to traditional fossil fuel-driven vehicles. Due to a …
been identified as a promising alternative to traditional fossil fuel-driven vehicles. Due to a …
A multi-adaptive particle swarm optimization for the vehicle routing problem with time windows
In this paper, a new variant of the Particle Swarm Optimization (PSO) algorithm is proposed
for the solution of the Vehicle Routing Problem with Time Windows (VRPTW). Three different …
for the solution of the Vehicle Routing Problem with Time Windows (VRPTW). Three different …
A hybrid discrete particle swarm optimization for vehicle routing problem with simultaneous pickup and delivery
FP Goksal, I Karaoglan, F Altiparmak - Computers & industrial engineering, 2013 - Elsevier
Vehicle routing problem (VRP) is an important and well-known combinatorial optimization
problem encountered in many transport logistics and distribution systems. The VRP has …
problem encountered in many transport logistics and distribution systems. The VRP has …