Abstract: How to obtain a pheromone matrix of high quality is significant and challenging in the optimization performance of ant colony optimization algorithms. Therefore, this paper proposes an ...

A perspective in the Journal of the Royal Society Interface argues that advances in AI, sensing technologies and modeling are transforming the study of collective animal behavior, with implications ...

Abstract: An enhanced ant colony algorithm based on potential field guidance is proposed to address the problems of slow convergence, local optimization, and many turning points in the traditional ant ...

Ants solve complex logistical challenges without leaders by using pheromone trails to communicate food location, quality, and danger.

Ants coordinate highly complex foraging and traffic systems without any leaders, relying entirely on local interactions and chemical cues. Pheromone trails encode information about distance, food ...