Question 1 of 30
In a logistics company, a transportation manager is tasked with optimizing delivery routes for a fleet of vehicles that need to service multiple clients across a city. The manager must consider factors such as delivery time windows, vehicle capacity, and traffic conditions. Which approach should the manager take to effectively utilize route optimization algorithms in this scenario?
Implement a mixed-integer programming model that incorporates all constraints and objectives to find the optimal routes for the fleet.
Use a heuristic approach that randomly selects routes based on historical data without considering real-time traffic updates.
Rely solely on the shortest path algorithm, assuming that distance is the only factor affecting delivery efficiency.
Apply a basic nearest neighbor algorithm that only focuses on the closest delivery point without considering other constraints.

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