Cooperative mTSP

Cooperative mTSP (Multiple Traveling Salesman Problem) focuses on optimizing routes for multiple agents to collectively cover a set of locations, minimizing the longest individual route or total cost. Current research emphasizes efficient algorithms, including hybrid genetic algorithms, reinforcement learning approaches, and novel transformer-based architectures designed for equitable workload distribution among agents. These advancements aim to improve solution quality and scalability, particularly for large-scale problems, with applications in areas such as robotics, logistics, and resource allocation. The development of more efficient and robust solutions has significant implications for optimizing complex real-world tasks involving multiple agents.