Abstract: Ant colony optimization (ACO) algorithms were applied to create an automated manufacturing supply chain scheduling in this study. Traditional scheduling approaches demonstrate insufficient ...

Researchers leveraged advanced technologies and artificial intelligence to hasten the process of generating 2,000 3D digital ant images. Now, a class of UMD computer science majors is working to bring ...

For more than a decade, Evan Economo's lab has been using micro-CT machines to scan insect specimens. The resulting X-ray images help researchers study the form and structure of insects—a subfield of ...

A new high-tech scanning system is rapidly turning thousands of ants into stunning 3D models—building a digital library of ...

A comprehensive Python implementation comparing multiple metaheuristic algorithms for solving the Vehicle Routing Problem with Time Windows (VRPTW). It provides a detailed comparison of four ...

This project is an educational and research-oriented implementation that benchmarks and compares different metaheuristic algorithms for solving VRPTW problems. The VRPTW is a classic NP-hard ...

Abstract: Ant Colony Optimization (ACO) is a prominent swarm intelligence algorithm extensively applied to path planning. However, traditional ACO methods often exhibit shortcomings, such as blind ...