View Code? Open in Web Editor
NEW
Genetic Algorithm application in K-coverage, M-connected node placement in Wireless Sensor Network optimization.
genetic-algorithm's Introduction
K-Coverage, M-Connected node placement in WSN problem using Genetic Algorithm
- This project uses PyGAD python pakage to build GA pipeline.
- Implemented based on the article here
- the GA uses: single point crossover, steady-state selection for selecting parents.
- randomly generate targets, sensors' potential positions (implement in ./initialization.py)
- Install PyGAD:
pip install pygad
- The main file is ./main.py, run it to get insights on the population and the best solution found.
python main.py
genetic-algorithm's People
Stargazers
Watchers