ройовий інтелект

The presented study is dedicated to the dynamic pathfinding problem for UV. Since the automation of UV movement is an important area in many applied domains like robotics, the development of drones, autopilots, and self-learnable platforms, we propose and study a promising approach based on the algorithm of swarm AI. Given the 2D environment with multiple obstacles of rectangular shape, the task is to dynamically calculate a suboptimal path from the starting point to the target.

At this article proposed to use intelligent planning agents using ontological approach to automate the procedures of formation of many alternative solutions and the choice of rational decision in branch of GIS. It proposed to use the developed knowledge base in the field of methods of swarm intelligence based on adaptive ontology and a database of scientific publications in this field. All applied problems in the branch of geoinformation systems are divided into classes of problems: stationary, quasi-stationary, dynamic.