Optimal Robot Path Planning Problem Using Ant Colony Optimization
Implementation of Ant Colony Algorithm for Robot Path Optimization: (1) Represent the robot's navigation map using grid cells (2) Initialize pheromone matrix, set start/end points, and configure algorithm parameters (3) Calculate transition probabilities to adjacent nodes using pheromone concentrations and select next node via roulette wheel selection (4) Update path trajectory and total path length (5) Iterate steps 3-4 until ants reach destination or encounter dead ends (6) Repeat steps 3-5 until all m ants in a generation complete iteration (7) Update pheromone matrix, excluding paths from ants that failed to reach destination (8) Repeat steps 3-7 until n generations complete