AI RESEARCH
Learning to Solve Orienteering Problem with Time Windows and Variable Profits
arXiv CS.AI
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ArXi:2603.06260v1 Announce Type: cross The orienteering problem with time windows and variable profits (OPTWVP) is common in many real-world applications and involves continuous time variables. Current approaches fail to develop an efficient solver for this orienteering problem variant with discrete and continuous variables.