YoungSu Yun

18 papers B 1Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2021 — conf
Hybrid Meta-heuristics Approach for Solving Supply Chain Network Model under Disruption Risk.
CSCI
Chuluunsukh Anudari, YoungSu Yun, Mitsuo Gen
2021 — conf
Hybridizing Teaching-Learning Based Optimization with GA and PSO: Case Study of Supply Chain Network Model.
CSCI
Mitsuo Gen, Chuluunsukh Anudari, YoungSu Yun
2018 J jnl
Recent advances in hybrid priority-based genetic algorithms for logistics and SCM network design.
Comput. Ind. Eng.
Mitsuo Gen, Lin Lin, YoungSu Yun, Hisaki Inoue
2017 J jnl
Recent advances in hybrid evolutionary algorithms for multiobjective manufacturing scheduling.
Comput. Ind. Eng.
Mitsuo Gen, Wenqiang Zhang, Lin Lin, YoungSu Yun
2013 J jnl
Hybrid genetic algorithm approach for precedence-constrained sequencing problem.
Comput. Ind. Eng.
YoungSu Yun, HyunSook Chung, Chiung Moon
2011 J jnl
Genetic algorithm approach for precedence-constrained sequencing problems.
J. Intell. Manuf.
YoungSu Yun, Chiung Moon
2009 J jnl
Corrigendum to "Integrated process planning and scheduling in a manufacturing supply chain" [Computers & Industrial Engineering 54 (4) (2008) 1048-1061].
Comput. Ind. Eng.
Chiung Moon, Young Hae Lee, Chanseok Jeong, YoungSu Yun
2009 J jnl
Hybrid genetic algorithm with adaptive local search scheme for solving multistage-based supply chain problems.
Comput. Ind. Eng.
YoungSu Yun, Chiung Moon, Daeho Kim
2008 J jnl
Integrated process planning and scheduling in a supply chain.
Comput. Ind. Eng.
Chiung Moon, Young Hae Lee, Chanseok Jeong, YoungSu Yun
2007 B conf
Evolutionary algorithm based on topological sort for precedence constrained sequencing.
IEEE Congress on Evolutionary Computation
Chiung Moon, YoungSu Yun, Choonseong Leem
2006 J jnl
Adaptive genetic algorithm for advanced planning in manufacturing supply chain.
J. Intell. Manuf.
Chiung Moon, Yoonho Seo, YoungSu Yun, Mitsuo Gen
2006 J jnl
Hybrid genetic algorithm with adaptive local search scheme.
Comput. Ind. Eng.
YoungSu Yun
2006 J jnl
Soft computing approach for reliability optimization: State-of-the-art survey.
Reliab. Eng. Syst. Saf.
Mitsuo Gen, YoungSu Yun
2005 J jnl
Hybrid genetic algorithm with adaptive abilities for resource-constrained multiple project scheduling.
Comput. Ind.
Kwan Woo Kim, YoungSu Yun, JungMo Yoon, Mitsuo Gen, Genji Yamazaki
2004 J jnl
Reliability Optimization Problems Using Adaptive Hybrid Genetic Algorithms.
J. Adv. Comput. Intell. Intell. Informatics
Minoru Mukuda, YoungSu Yun, Mitsuo Gen
2003 J jnl
Performance Analysis of Adaptive Genetic Algorithms with Fuzzy Logic and Heuristics.
Fuzzy Optim. Decis. Mak.
YoungSu Yun, Mitsuo Gen
2003 J jnl
Various hybrid methods based on genetic algorithm with fuzzy logic controller.
J. Intell. Manuf.
YoungSu Yun, Mitsuo Gen, Seunglock Seo
2002 J jnl
Reliability Optimization Design for Complex Systems by Hybrid GA with Fuzzy Logic Control and Local Search.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Changyoon Lee, YoungSu Yun, Mitsuo Gen