The vehicle routing problem: State-of-the-art classification and review

SY Tan, WC Yeh - Applied Sciences, 2021 - mdpi.com
Transportation planning has been established as a key topic in the literature and social
production practices. An increasing number of researchers are studying vehicle routing …

Application of improved multi-objective particle swarm optimization algorithm to solve disruption for the two-stage vehicle routing problem with time windows

RJ Kuo, MF Luthfiansyah, NA Masruroh… - Expert Systems with …, 2023 - Elsevier
Nowadays, the complexity of the global supply chain is increasing. Thus, the vehicle routing
problem (VRP) has become a very important problem because of its practicality in real-world …

Parallel dynamic NSGA-II with multi-population search for rescheduling of seru production considering schedule changes under different dynamic events

X Li, Z Zhang, W Sun, Y Liu, J Tang - Expert Systems with Applications, 2024 - Elsevier
Seru production is usually accompanied by various dynamic events in the real world, such
as worker tool breakdowns, new batch arrivals, batch cancellations, and batch size changes …

Industrial information integration method to vehicle routing optimization using grey target decision

K Guo, S Hu, H Zhu, W Tan - Journal of Industrial Information Integration, 2022 - Elsevier
Industrial information integration can help companies develop supply chain systems and is a
good framework for vehicle routing problem. To address the problems of excessive energy …

A robust multi-objective routing problem for heavy-duty electric trucks with uncertain energy consumption

A Amiri, H Zolfagharinia, SH Amin - Computers & Industrial Engineering, 2023 - Elsevier
Abstract In the Vehicle Routing Problem (VRP), utilizing Battery Electric Vehicles (BEVs)
adds some challenges such as limited driving range and long recharging time to the …

An enhance multimodal multiobjective optimization genetic algorithm with special crowding distance for pulmonary hypertension feature selection

M Wang, X Li, L Chen - Computers in biology and medicine, 2022 - Elsevier
Multiobjective optimization assumes a one-to-one mapping between decisions and
objective space, however, this is not always the case. When many variables have the same …

Genetic algorithm for a delivery problem with mixed time windows

W Ongcunaruk, P Ongkunaruk, GK Janssens - Computers & Industrial …, 2021 - Elsevier
This research aims to improve transportation planning decisions for a production company,
which produces seasoning powder in Thailand and the logistics provider. Due to restrictions …

A bi-objective time-dependent vehicle routing problem with delivery failure probabilities

F Menares, E Montero, G Paredes-Belmar… - Computers & Industrial …, 2023 - Elsevier
This work presents a bi-objective time-dependent vehicle routing problem with delivery
failure probabilities (TDVRPDFP). Two objectives are jointly minimized: operational costs …

Hybrid multi-objective evolutionary meta-heuristics for a parallel machine scheduling problem with setup times and preferences

N Srinath, IO Yilmazlar, ME Kurz, K Taaffe - Computers & Industrial …, 2023 - Elsevier
Fabric dyeing is a vital production process of textile products. In the dyeing process, orders
are scheduled to machines, and the sequence of jobs on a machine is crucial since the …

A comprehensive risk assessment view on interval type-2 fuzzy controller for a time-dependent HazMat routing problem

F Zandieh, SF Ghannadpour - European Journal of Operational Research, 2023 - Elsevier
Hazardous material transportation is an integral part of industries that pose significant risks.
Hazardous material transportation risk of is proportional to the volume of materials …