TMCnet

Kaleris' RTG-Optimization Drives Major Productivity Gains at Port Houston

Managing 142 RTG cranes and up to 12,000 truck visits daily across the Barbours Cut and Bayport terminals, Port Houston needed a smarter way to optimize operations with its existing assets. Kaleris ...

A&G Real Estate Partners Delivers Big Wins in 2025

The deep bench of portfolio-optimization specialists at A&G Real Estate Partners made a significant impact on commercial real estate in 2025, yielding hundreds of millions of dollars in occupancy-cost ...
IEEE

Delay and Load Fairness Optimization With Queuing Model in Multi-AAV Assisted MEC: A Deep Reinforcement Learning Approach

Abstract: Autonomous aerial vehicles (AAV) can alleviate the computational burden on edge devices through assisted computing. However, with the increase in the number of Internet of Things Devices ...
IEEE

Integrated AGV Positioning and Scheduling Using Simulation-Based Reinforcement Learning and Combinatorial Optimization in Automated Container Terminals

Abstract: Automated Guided Vehicle (AGV) positioning and scheduling critically impact automated container terminal efficiency, yet operational uncertainties significantly challenge effective ...