It is an optimization algorithm used to find the shortest path between points or nodes. It is developed by observing the behaviour of ants when they follow a path to their food source. Ants are ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Time and again, it has been proven that the knowledge of the ...

Our Computer Science Ph.D. students are innovators, problem-solvers, and future leaders in the field. From pioneering research in AI and cybersecurity to breakthroughs in data science and HCI, they’re ...

In response to the shortcomings of the Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow convergence speed, a Multi-Strategy-Driven Salp Swarm Algorithm (MSD-SSA) was proposed.

In the last 20 years, fragment-based drug discovery (FBDD) has become a popular and consolidated approach within the drug discovery pipeline, due to its ability to bring several drug candidates to ...

The Ant colony Optimization algorithm is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs (source). This implementation of the ACO ...

Predicting the stability of granular materials under particle removal has wide-reaching applications, including automating tunnel excavations. Searching for general laws that govern granular stability ...

In this paper, we introduce an active inference model of ant colony foraging behavior, and implement the model in a series of in silico experiments. Active inference is a multiscale approach to ...