331 citations · 468 across the 14 of their papers we have counts for
3 papers · 1 filter
Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing Problems
Abhay Sobhanan, Junyoung Park, Jinkyoo Park +1
When vehicle routing decisions are intertwined with higher-level decisions, the resulting optimization problems pose significant challenges for computation. Examples are the multi-…
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
Federico Berto, Chuanbo Hua, Junyoung Park +30
Combinatorial optimization (CO) is fundamental to several real-world applications, from logistics and scheduling to hardware design and resource allocation. Deep reinforcement lear…
Generating Dispatching Rules for the Interrupting Swap-Allowed Blocking Job Shop Problem Using Graph Neural Network and Reinforcement Learning
Vivian W. H. Wong, Sang Hun Kim, Junyoung Park +2
The interrupting swap-allowed blocking job shop problem (ISBJSSP) is a complex scheduling problem that is able to model many manufacturing planning and logistics applications reali…