A Static Environment-Based Path Planning Method by Using Genetic Algorithm

摘要

This paper proposed a genetic algorithm-based method of path planning for mobile robot in a static environment. The paper uses a simple fitness function as the evaluation standard for an individual or a path. This is able to reduce the computation consumption, but it still cannot avoid of customizing genetic operators. In most cases, thus, the optimal solution could be found out in the lower evolution generations. The simulation study shows that this method is suitable for mobile robot path planning.