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A survey of the orienteering problem: model evolution, algorithmic advances, and future directions
This article systematically reviews the Orienteering Problem (OP) research from 2017 to 2025, offering a component-based taxonomy for its variants and solution methods. It provides a consolidated reference for existing OP research and outlines a structured agenda for future theoretical and applied work, particularly focusing on AI integration and scalability.