Ant colony optimization is a simulated evolutionary algorithm which imitates the ants foraging to determine the shortest path between the anthill and a food source. This is a heuristic system with a ...

Harvester ants maintain complex nests built several metres underground, with an entire colony of 10,000 ants lasting between 20 and 30 years – matching the lifespan of a queen ant, whose death ...

The Ant Colony Optimization (ACO) algorithm is a nature-inspired metaheuristic method used for optimization problems. Although not a machine learning method per se, ACO is often employed alongside ...

This paper presents a new linear algorithm for estimating 3D motion from 2D image sequence. The main contribution of the algorithm contains two parts: the establishment of straight-line optical flow ...