In-Beom Park

According to our database, In-Beom Park authored at least 5 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

An incremental learning approach to dynamic parallel machine scheduling with sequence-dependent setups and machine eligibility restrictions.

Donghun Lee, In-Beom Park, Kwanho Kim

Appl. Soft Comput., 2024

2023

Scalable Scheduling of Semiconductor Packaging Facilities Using Deep Reinforcement Learning.

In-Beom Park, Jonghun Park

IEEE Trans. Cybern., June, 2023

A Generation and Repair Approach to Scheduling Semiconductor Packaging Facilities Using Case-Based Reasoning.

In-Beom Park, Jaeseok Huh, Jonghun Park

IEEE Access, 2023

2021

Deep Reinforcement Learning for Minimizing Tardiness in Parallel Machine Scheduling With Sequence Dependent Family Setups.

Bohyung Paeng, In-Beom Park, Jonghun Park

IEEE Access, 2021

2020

A Reinforcement Learning Approach to Robust Scheduling of Semiconductor Manufacturing Facilities.

In-Beom Park, Jaeseok Huh, Joongkyun Kim, Jonghun Park

IEEE Trans Autom. Sci. Eng., 2020