Learning to Solve Orienteering Problem with Time Windows and Variable Profits | ScienceToStartup | ScienceToStartup

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References (62)

[1]

Towards Constraint-Based Adaptive Hypergraph Learning for Solving Vehicle Routing: An End-to-End Solution

2025Zhenwei Wang, Ruibin Bai et al.

[2]

Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming

2025Haoyang Liu, Jie Wang et al.

[3]

Enhancing Sustainable Data Collection With Unmanned Aerial Vehicles: A Deep Reinforcement Learning Approach

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"A learning-based solver for the orienteering problem with time windows and variable profits (OPTWVP) that outperforms existing methods in solution quality and computational efficiency."

Optimization•Score: 7•View PDF ↗

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Learning to Solve Orienteering Problem with Time Windows and Variable Profits

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Founder's Pitch

"A learning-based solver for the orienteering problem with time windows and variable profits (OPTWVP) that outperforms existing methods in solution quality and computational efficiency."

Commercial Viability Breakdown

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Learning to Solve Orienteering Problem with Time Windows and Variable Profits

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References (62)

Founder's Pitch

"A learning-based solver for the orienteering problem with time windows and variable profits (OPTWVP) that outperforms existing methods in solution quality and computational efficiency."

Commercial Viability Breakdown

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