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YoungSu Yun
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2020 – today
- 2021
- [c3]Mitsuo Gen, Chuluunsukh Anudari, YoungSu Yun:
Hybridizing Teaching-Learning Based Optimization with GA and PSO: Case Study of Supply Chain Network Model. CSCI 2021: 457-462 - [c2]Chuluunsukh Anudari, YoungSu Yun, Mitsuo Gen:
Hybrid Meta-heuristics Approach for Solving Supply Chain Network Model under Disruption Risk. CSCI 2021: 482-487
2010 – 2019
- 2018
- [j15]Mitsuo Gen, Lin Lin, YoungSu Yun
, Hisaki Inoue:
Recent advances in hybrid priority-based genetic algorithms for logistics and SCM network design. Comput. Ind. Eng. 125: 394-412 (2018) - 2017
- [j14]Mitsuo Gen, Wenqiang Zhang
Recent advances in hybrid evolutionary algorithms for multiobjective manufacturing scheduling. Comput. Ind. Eng. 112: 616-633 (2017) - 2013
- [j13]YoungSu Yun
Hybrid genetic algorithm approach for precedence-constrained sequencing problem. Comput. Ind. Eng. 65(1): 137-147 (2013) - 2011
- [j12]YoungSu Yun
Genetic algorithm approach for precedence-constrained sequencing problems. J. Intell. Manuf. 22(3): 379-388 (2011)
2000 – 2009
- 2009
- [j11]YoungSu Yun
Hybrid genetic algorithm with adaptive local search scheme for solving multistage-based supply chain problems. Comput. Ind. Eng. 56(3): 821-838 (2009) - [j10]Chiung Moon, Young Hae Lee, Chanseok Jeong, YoungSu Yun:
Corrigendum to "Integrated process planning and scheduling in a manufacturing supply chain" [Computers & Industrial Engineering 54 (4) (2008) 1048-1061]. Comput. Ind. Eng. 57(4): 1484 (2009) - 2008
- [j9]Chiung Moon, Young Hae Lee, Chanseok Jeong, YoungSu Yun
Integrated process planning and scheduling in a supply chain. Comput. Ind. Eng. 54(4): 1048-1061 (2008) - 2007
- [c1]Chiung Moon, YoungSu Yun, Choonseong Leem:
Evolutionary algorithm based on topological sort for precedence constrained sequencing. IEEE Congress on Evolutionary Computation 2007: 1325-1332 - 2006
- [j8]YoungSu Yun:
Hybrid genetic algorithm with adaptive local search scheme. Comput. Ind. Eng. 51(1): 128-141 (2006) - [j7]Chiung Moon, Yoonho Seo, YoungSu Yun
Adaptive genetic algorithm for advanced planning in manufacturing supply chain. J. Intell. Manuf. 17(4): 509-522 (2006) - [j6]Mitsuo Gen, YoungSu Yun
Soft computing approach for reliability optimization: State-of-the-art survey. Reliab. Eng. Syst. Saf. 91(9): 1008-1026 (2006) - 2005
- [j5]Kwan Woo Kim, YoungSu Yun
Hybrid genetic algorithm with adaptive abilities for resource-constrained multiple project scheduling. Comput. Ind. 56(2): 143-160 (2005) - 2004
- [j4]Minoru Mukuda, YoungSu Yun, Mitsuo Gen:
Reliability Optimization Problems Using Adaptive Hybrid Genetic Algorithms. J. Adv. Comput. Intell. Intell. Informatics 8(4): 437-441 (2004) - 2003
- [j3]YoungSu Yun
Performance Analysis of Adaptive Genetic Algorithms with Fuzzy Logic and Heuristics. Fuzzy Optim. Decis. Mak. 2(2): 161-175 (2003) - [j2]YoungSu Yun, Mitsuo Gen, Seunglock Seo:
Various hybrid methods based on genetic algorithm with fuzzy logic controller. J. Intell. Manuf. 14(3-4): 401-419 (2003) - 2002
- [j1]Changyoon Lee, YoungSu Yun, Mitsuo Gen:
Reliability Optimization Design for Complex Systems by Hybrid GA with Fuzzy Logic Control and Local Search. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 85-A(4): 880-891 (2002)
Coauthor Index
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