Ant Colony Optimization (ACO) is a metaheuristic inspired by real-world ant behavior, where ants communicate via pheromone trails to find optimal paths. Introduced by Marco Dorigo in the 1990s, ACO ...

(CBS News) New research has found that ants and algorithms have more in common than you might think. A study from Stanford University showed that a species of harvester ant transmits information in ...

Abstract: In this paper, we propose a data migration path optimization based on Improved Ant Colony Optimization (IACO) algorithm, aiming to improve its efficiency and reliability when performing data ...

This breakthrough in dynamic job allocation helps optimize the coordination of harvesters and transport vehicles, reducing costs and increasing efficiency even in unpredictable farm environments.