This paper proposes an improved Q-Learning path planning algorithm for mobile robots. The algorithm introduces an exploration factor based on the mutation of probability to balance exploration and ...

Learning differential evolution (DE) algorithms are widely adopted to address flexible job-shop scheduling problems (FJSPs) because of the optimization ability. However, traditional learning DEs are ...