ITSC 2025 Paper Abstract

Paper VP-VP.81

Ha, Won Yong (New York University)

A Genetic Algorithm Approach to Optimizing Product Storage in Military Logistics

Scheduled for presentation during the Video Session "On-Demand Video Presentations" (VP-VP), Saturday, November 22, 2025, 08:00−18:00, On-Demand Platform

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on April 2, 2026

Keywords Smart Logistics with Real-time Traffic Data for Freight Routing and Optimization, Autonomous Freight Transport Systems and Fleet Management Solutions, Real-time Motion Planning and Control for Autonomous Vehicles in ITS Networks

Abstract

Efficient supply systems play a critical role in enhancing combat capability and operational efficiency. As a result, military logistics is undergoing modernization to enable faster and more accurate distribution. Central to this effort is effective warehouse management. This paper introduces a new product allocation model based on a genetic algorithm (GA), which accounts for both the order frequency and weight of items, recognizing that military equipment is typically heavier than standard goods. Through computer simulations, the proposed model demonstrates over a 25% reduction in energy consumption by forklifts, while maintaining comparable travel times. Additionally, the GA outperforms other optimization methods, highlighting its effectiveness in military warehouse scenarios.