Path planning of free-flying space robot based on artificial bee colony algorithm

Abstract

The artificial bee colony algorithm is a novel simulated evolutionary algorithm. The artificial bee colony algorithm has distributed computation, positive feedback and a constructive greedy heuristic convergence. Obstacle avoidance path planning of free-flying space robot is realized by the use of artificial bee colony algorithm. The artificial bee colony algorithm is a class of population based bionic algorithm, which provides new methods for complex combinatorial optimization problems. The artificial bee colony algorithm is improved appropriately so that it is applicable to path planning of free-flying space robot. Then, the algorithm is implemented with computer simulation and preferable results are obtained.