Yes, this is a good point. Let’s look at the big picture.
The goal of this challenge is to find efficient solutions to deal with very large environments.
For example, for 150x150 environments, operations research solutions could easily solve the problem perfectly. But they will take hours to find a solutions when the environments get larger. This is a real-world problem for logistics companies: when a train breaks down, it takes too long to find an updated schedule.
So, the goal is to find a solution which can solve environments of any size within a short computing time. We don’t necessarily want to find an optimal plan, but we want to find one that is good enough quickly! As long as you don’t have a new schedule, none of the trains can move.
So, the problems in Round 2 will be larger than in Round 1. It is also possible that we make the Round 1 environments larger at the end of the current Warm-Up Round (= at the end of the month).
Your solutions should not assume that the environments have a given maximum size, as we will make them as large as we can!