UAV Path Planning
This simulation platform enables 2D path planning for UAVs or robots, featuring customizable functions and replaceable working environments with configurable parameters
Drone Path Planning Optimization
Drone path planning using Ant Colony Optimization (ACO), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO)
UAV Path Planning Using MATLAB-Based Ant Colony Optimization Algorithm
Ant Colony Optimization (ACO) is a subset of swarm intelligence that mimics the cooperative behavior of ants to solve complex combinatorial optimization problems. The algorithm employs pheromone-based path selection mechanisms and probabilistic decision-making to efficiently explore solution spaces.