Genetic Algorithm for Path Planning

The Genetic Algorithm project applies evolutionary principles to path planning. By encoding paths as chromosomes and applying genetic operators like selection, crossover, and mutation, we evolve optimal paths through a search space. The project includes various simulation results, highlighting the adaptability and efficiency of genetic algorithms in solving complex path planning problems.

Simulation Results

Real Time Visualization

Final Path