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Published in IEEE Transactions on Visualization and Computer Graphics, 2014
Recommended citation: Jo, J., Huh, J., Park, J., Kim, B., & Seo, J.* (2014), LiveGantt: Interactively Visualizing a Large Manufacturing Schedule, IEEE Transactions on Visualization and Computer Graphics, 20(12), 2329-2338. (SCI)
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Published in Sustainability,, 2018
Recommended citation: Huh, J., Park, I., Lim, S., Paeng, B., Park, J., & Kim, K.* (2018), Learning to Dispatch Operations with Intentional Delay for Re-Entrant Multiple-Chip Product Assembly Lines, Sustainability, 10(11), 4123-4143. (SSCI)
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Published in 한국정보기술학회논문지, 2019
Recommended citation: 허재석*, 박종헌 (2019), 재유입 다중칩 조립라인을 위한 인공신경망 기반의 다중 목적 함수 디스패치 규칙 선택 기법, 한국정보기술학회논문지, 17(2), 1-11. (KCI)
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Published in Journal of Intelligent Manufacturing, 2019
Recommended citation: Huh, J., Chae, M., Park, J., & Kim, K.* (2019), A Case-Based Reasoning Approach to Fast Optimization of Travel Routes for Large-Scale AS/RSs, Journal of Intelligent Manufacturing, 30(4), 1765-1778. (SCIE)
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Published in Sustainability, 2019
Recommended citation: Huh, J., Park, J., Shin, D., & Choi, Y.* (2019), A Hierarchical SVM Based Behavior Inference of Human Operators Using a Hybrid Sequence Kernel, Sustainability, 11(18), 4836-4851. (SSCI)
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Published in 한국전자거래학회, 2020
Recommended citation: 허재석*, 박종헌 (2020), 제조라인의 학습기반 디스패처를 위한 디스패치 의사결정 평가 시각화시스템, 한국전자거래학회지, 25(1), 1-12. (KCI)
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Published in IEEE Transactions on Automation Science and Engineering, 2020
Recommended citation: Park, I., Huh, J.*, Kim, J., & Park, J. (2020), A Reinforcement Learning Approach to Robust Scheduling of Semiconductor Manufacturing Facilities, IEEE Transactions on Automation Science and Engineering, 17(3), 1420-1431. (SCIE)
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Published in IEEE Access, 2020
Recommended citation: Huh, J., Park, J., Shin, D., & Choi, Y.* (2020), A Behavior Optimization Method for Unmanned Combat Aerial Vehicles Using Matrix Factorization, IEEE Access, 8, 100298-100307. (SCIE)
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Published in 출원, 2021
Recommended citation: 고광종, 허재석, ”하이브리드 메타휴리스틱 알고리즘을 이용한 인공 신경망의 가중치를 최적화하기 위한 군집 메모리 장치 및 이의 동작 방법”, 10-2021-0148903 , 2021.11.02 출원
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Published in 대한산업공학회지, 2022
Recommended citation: 고광종, 허재석* (2022), 인공신경망 가중치의 효과적인 최적화를 위한 하이브리드 메타휴리스틱 알고리즘, 대한산업공학회지, 48(2), 227-234. (KCI)
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Published in 한국전자거래학회지, 2022
Recommended citation: 김민경, 허재석*, 사애진, 전아름, 이한별 (2022), 클러스터링 기법을 활용한 이커머스 사용자 리뷰에 따른 시장세분화 연구, 한국전자거래학회지, 27(2), 21-36. (KCI)
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Published in 출원, 2022
Recommended citation: 김다솔, 허재석, ”욜로와 듀얼 칼만 필터 기반의 객체 추적 시스템”, 10-2022-0174401, 2022.12.14 출원
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Published in 한국정보기술학회논문지, 2023
Recommended citation: 김다솔, 허재석* (2023), YOLOv5와 Dual Kalman Filter 기반의 폐색영역에 강건한 객체 추적 프레임워크, 한국정보기술학회논문지, 21(2), 19-32. (KCI)
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Published in IEEE Access, 2023
Recommended citation: Park, I., Huh, J.*, & Park, J. (2023), "A Generation and Repair Approach to Scheduling Semiconductor Packaging Facilities Using Case-based Reasoning", IEEE Access, 11, 50631–50641. (SCIE)
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Published in 출원, 2024
Recommended citation: 허재석, 박인범, ”제품 제조 공장의 스케줄 고속 생성을 위한 서버 및 그 구동 방법”, 10-2024-0060406, 2024.05.08 출원
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Published in 출원, 2024
Recommended citation: 박진환, 허재석, "다중교차로의 신호를 제어하기 위한 서버 및 그 구동 방법", 10-2024-0091877, 2024.07.11 출원
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Published in 대한산업공학회지, 2024
Recommended citation: 박진환, 허재석* (2024), 공통 신호주기 제약을 고려한 Particle Swarm Optimization 기반 다중 교차로 교통 신호 최적화, 대한산업공학회지, 50(5), 313-324. (KCI)
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Published in 등록, 2024
Recommended citation: 고광종, 허재석, "하이브리드 메타휴리스틱 알고리즘을 이용한 인공 신경망의 가중치를 최적화하는 방법 및 장치", 출원번호: 10-2021-0148902, 2021.11.02 출원, 등록번호: 10-2743464, 2024.12.11 등록
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Published in 출원, 2025
Recommended citation: 이건원, 허재석, "선호도 기반 강화학습을 이용한 스케줄링 장치 및 방법", 10-2025-0002152, 2025.01.07 출원
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Submitted to Swarm and Evolutionary Computation, 2025
Recommended citation: Park, I., & Huh, J.*, A Genetic Algorithm with Feasibility-Agnostic Encoding and Three-Phase Decoding for Scheduling Semiconductor Manufacturing Facilities under Constrained Queue Time, submitted to Swarm and Evolutionary Computation.
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Published in Intelligent Data Analysis, 2025
Recommended citation: Kim, D., Cho, S., Chae, H., Park, J., & Huh, J.* (2025), Semi-Supervised Contrastive Learning with Decomposition-based Data Augmentation for Time Series Classification, Intelligent Data Analysis, 29(1), 94-115. (SCIE)
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Published in Swarm and Evolutionary Computation, 2025
Recommended citation: Ko, G., & Huh, J.* (2025), A Metaheuristic-Based Weight Optimization for Robust Deep Reinforcement Learning in Continuous Control, Swarm and Evolutionary Computation, 95, 101920. (SCIE)
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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