Ant colony optimization algorithm for UAV path planning

Swarm algorithms are perfectly suited to many types of tasks for which conventional methods would be too complicated or would involve a high computational load. The main feature of swarm systems is the optimization of the problem in terms of given conditions and parameters. The result of such a process is the construction of many suboptimal solutions, from which a variant that meets predefined conditions is selected. This article will familiarize the reader with the popular swarm algorithms and the use of one such algorithm for in a path planning process for unmanned aircraft at various mission parameters.