In the world of logistics and delivery, optimizing routes is crucial for efficiency. A recent study highlights how AI can revolutionize this process. Using the Traveling Salesman Problem (TSP) as a model, researchers have shown that AI algorithms like LKH can significantly reduce travel time and costs. For instance, instead of trying all possible street combinations to reach a new workplace, which could take an impractical amount of time, AI can find the optimal route almost instantly. This approach not only saves time but also reduces fuel consumption and vehicle wear. In business, this translates to maximizing functions like revenue or minimizing costs. For example, a company aiming to maximize sales revenue can use AI to determine the best combination of decisions (vector x) to achieve this goal. The study’s code is available on GitHub, offering a practical tool for businesses to implement these optimizations.
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