Yee, Z.C. and Ponnambalam, S.G. (2009) Mobile Robot Path Planning Using Ant Colony Optimization. IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009, Singapore, 14-17 July 2009, 851-856.

has been cited by the following article:

• TITLE: Robot Global Path Planning Based on an Improved Ant Colony Algorithm

  AUTHORS: Jingang Cao

  KEYWORDS: Path Planning, Ant Colony Algorithm, Grid Method

  JOURNAL NAME: Journal of Computer and Communications, Vol.4 No.2, February 15, 2016

  ABSTRACT: Aiming at the disadvantages of the basic ant colony algorithm, this paper proposes an improved ant colony algorithm for robot global path planning. First, adjust the pheromone evaporation rate dynamically to enhance the global search ability and convergence speed, and then modify the heuristic function to improve the state transition probabilities in order to find the optimal solution as quickly as possible; and finally change the pheromone update strategy to avoid premature by strengthening pheromone on the optimal path and limiting pheromone level. Simulation results verify the effectiveness of the improved algorithm.