The Grey Wolf Optimizer for Path Planning is a MATLAB-based implementation of the Grey Wolf Optimizer (GWO) algorithm designed for UAV path and trajectory planning. It allows simulation of both two-dimensional and three-dimensional UAV trajectory planning depending on parameter setups. The tool provides built-in functions to configure different UAV environments and supports multiple optimization objectives. It includes progress visualization to help monitor the optimization process during simulations. Users can adjust objective function weights and experiment with multiple heuristic search strategies to explore optimal solutions. This project demonstrates applications in multi-agent and multi-UAV cooperative path planning, making it useful for research and educational purposes in the field of intelligent optimization and robotics.
Features
- Supports 2D and 3D UAV trajectory planning through configurable setups
- Includes multiple UAV environment setup scripts for simulation flexibility
- Implements Grey Wolf Optimizer with options for multi-agent and multi-UAV coordination
- Provides adjustable objective function weights for optimization control
- Includes two built-in heuristic search methods selectable in the main script
- Displays progress with a progress bar to track long-running simulations
Project Samples
