Metaheuristic link prediction (MLP) using AI based ACO-GA optimization model for solving vehicle routing problem

JKC Revanna, NYB Al-Nakash - International Journal of Information …, 2023 - Springer
Delivering goods is crucial to the supply chain industry because it directly affects package
delivery, a crucial aspect of real-time vehicle movement on which most e-commerce …

Analysis of optimal design model in vehicle routing problem based on hybrid optimization algorithm

JKC Revanna… - 2022 4th International …, 2022 - ieeexplore.ieee.org
The organizations such as the online product sales and delivery system increases the
number of vehicle movement and thus generate the routing problems for vehicle. In that …

Hierarchical allocation-routing heuristic algorithm for crowd-shipping problem with time windows, transshipment nodes, and delivery options

NNT Nguyen, N Van Hop - Expert Systems with Applications, 2025 - Elsevier
The study addresses the Crowd Shipping Problem with Time Windows, Transshipment
Nodes, and Delivery Options (CSPTW-TN-DO) in last-mile delivery for e-commerce. A novel …

Ant colony optimization with simulated annealing algorithm for google maps

JKC Revanna, NYB Al-Nakash - 2023 9th International …, 2023 - ieeexplore.ieee.org
In the article that is being suggested, a brandnew, sophisticated route optimization is created
using cuttingedge software that makes use of Google APIs and unsupervised machine …

Advanced route optimization using hybridized salesforce geopointe package

JKC Revanna, E Arikan, NK Niture… - ITM Web of …, 2023 - itm-conferences.org
The study explores how Geopointe, a route optimization tool, affects the effectiveness of
industrial supply chains and proposes a novel method for route optimization that is used in …

A Secure Lightweight Cryptographic Algorithm for the Internet of Things (IoT) Based on Deoxyribonucleic Acid (DNA) Sequences

AS Nadhan, J Jacob I - Engineering Proceedings, 2023 - mdpi.com
The widespread adoption of the Internet of Things (IoT) across various domains has ushered
numerous applications into our daily lives. Ensuring the security of sensitive data, including …

An adaptive model of optimal traffic flow prediction using adaptive wildfire optimization and spatial pattern super learning

R Jain, S Dhingra, K Joshi, A Grover - Wireless Networks, 2024 - Springer
Real-time traffic prediction uses past data to anticipate traffic volume. The volume of traffic in
the region may be estimated using interpolation and extrapolation from library data by the …

Antenna Selection in 5G Communication Networks Using the Improved Grey Wolf Optimizer Algorithm

D Bansal, MR Tripathy, P Shastry - 2023 4th International …, 2023 - ieeexplore.ieee.org
Determining the direction of arrival, which requires the estimate of smart antenna properties,
is one way to improve communication performance. Data has already been sorted using …

The Use of Learning Algorithms in Business Intelligence Tools to Enhance Customer Feedbacks

JK Chowlur Revanna, E Arikan - International Conference on Digital …, 2023 - Springer
Currently, many industries have operational processes, and many new firms need help
understanding the importance of customer needs and feedback, which are crucial to the …

Efficient Route Optimization for Ice Distribution: Enhanced VRPTW with Customer Retention Strategies

S Thammasang, S Arunyanart - Engineering, Technology & Applied …, 2024 - etasr.com
This study addresses the Vehicle Routing Problem with Time Windows (VRPTW) in the
context of ice distribution by introducing a novel mathematical model that incorporates …