Using Bee Algorithm in the Problem of Mapping

Innovative algorithm for solving simultaneous location and mapping problem in unknown environment is considered. The algorithm is based on the comparison of point clouds with bee swarm algorithm. The algorithm obtained was experimentally tested. The algorithm increases the number of calculations in several times as compared to standard methods of minimization (algorithm of gradient descent and others), but the function calculations in random points are similar operations and it enables the efficient application of parallel computations, thus resulting in increased performance.