A new approach for mining correlated frequent subgraphs

MES Chowdhury, CF Ahmed, CK Leung - ACM Transactions on …, 2021 - dl.acm.org
Nowadays graphical datasets are having a vast amount of applications. As a result, graph
mining—mining graph datasets to extract frequent subgraphs—has proven to be crucial in …

Distributed allocation and scheduling of tasks with cross-schedule dependencies for heterogeneous multi-robot teams

BA Ferreira, T Petrović, M Orsag… - IEEE …, 2024 - ieeexplore.ieee.org
To enable safe and efficient use of multi-robot systems in everyday life, a robust and fast
method for coordinating their actions must be developed. In this paper, we present a …

[PDF][PDF] Modeling a software platform for beehive placement optimization.

V Milićević, N Zdravković, J Jović, D Jagličić - Acta Agriculturae Serbica, 2022 - afc.kg.ac.rs
In this paper, we discuss the multi-depot vehicle routing problem with regard to mobile
beekeeping. Considering that beekeepers usually do not have their own land plots rarely …

Multi depot vehicle routing problem and geographical information system integration: Retail stores case study

H Wirawan, S Suharjito - E3s Web of conferences, 2023 - e3s-conferences.org
The improper delivery route planning of multi depot and delivery assignment model leads
the logistic operation in high travel distance and high distribution cost. This paper aim to …

Determination of optimal depot location for a capacitated vehicle routing problem (CVRP) based on gross vehicle weight

MH Rahman, BC Menezes… - International Journal of …, 2024 - Taylor & Francis
The fuel consumption of a vehicle depends on its gross weight, which varies as goods are
successively unloaded at each wholesaler site or distribution centre within a transportation …

[PDF][PDF] A novel approach of smart logistics for the health-care sector using genetic algorithm

ME Midaoui, M Qbadou, K Mansouri - Advances in Science …, 2020 - academia.edu
This paper presents a new smart logistic method for the health-care sector to provide a
better drug pulling system, by using the clustering method to provide a suitable location for …

Route planning for chain restaurants with improved delivery mode using an adaptive genetic algorithm

Q Cao, C Fu, H Li - IEEE Access, 2022 - ieeexplore.ieee.org
With the popularization of logistics technology and the improvement of people's living
standards, the number of chain restaurants with delivery service is increasing continuously …

Solving Capacitated Vehicle Routing Problem Using Football Game Algorithm

A Alif, AK Garside, I Amallynda… - Jurnal Ilmiah Teknik …, 2022 - journals.ums.ac.id
Abstract The Capacitated Vehicle Routing Problem (CVRP) plays an important role in the
logistics transportation sector. Determining the proper route will reduce the company's …

A novel approach for handling semantic trajectories on data warehouses

G Garani, FJM Arboleda… - Intelligent Decision …, 2022 - content.iospress.com
A trajectory is a set of traces left by a moving object. It contains spatio-temporal information
about where and when that object was, as well as other semantical relevant information. It is …

[PDF][PDF] Green Vehicle Routing Problem with Capacitated Service Stations

X LI, Y LIU, P LI, Y ZHAO, Y DONG, Y JIN - 2024 - assets-eu.researchsquare.com
Logistics distribution requires competitive planning of distribution routes to reduce costs and
improve customer satisfaction. As a result, it has garnered significant attention and research …