Ngā tūemi rite

• Investigation of the Generalisation Ability of Genetic Programming-evolved Scheduling Rules in Dynamic Flexible Job Shop Scheduling
  mā: Zhu, Luyao, me ētahi atu.
  I whakaputaina: (2026)
• Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals
  mā: Tang, Yu, me ētahi atu.
  I whakaputaina: (2026)
• Learning to Solve Job Shop Scheduling under Uncertainty
  mā: Infantes, Guillaume, me ētahi atu.
  I whakaputaina: (2024)
• Leveraging Constraint Programming in a Deep Learning Approach for Dynamically Solving the Flexible Job-Shop Scheduling Problem
  mā: Echeverria, Imanol, me ētahi atu.
  I whakaputaina: (2024)
• Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling
  mā: Wang, Jiaqi, me ētahi atu.
  I whakaputaina: (2026)