Abstract: Real-world optimization problems are becoming increasingly complex and require effective and versatile algorithms to provide reliable solutions. However, the no-free-lunch theorem indicates ...

Abstract: This study proposes a tourism route optimization algorithm based on reinforcement learning, which achieves multi-objective optimization (such as shortest time, lowest cost, best experience, ...