Path planning for robots based on ant colony optimization algorithm under complex environment

Abstract

In order to overcome the current difficulty of the existing algorithms in path planning for robots, the ant colony optimization algorithm is introduced into this new application area. The corresponding ant colony optimization algorithm is presented to solve the continuous function optimization problem containing constraint conditions. The numerical simulation shows the efficiencies of the algorithm.