| Multi-objective feature selection with NSGA II TM Hamdani, JM Won, AM Alimi, F Karray Adaptive and Natural Computing Algorithms: 8th International Conference …, 2007 | 211 | 2007 |
| Parameter conditions for monotonic Takagi–Sugeno–Kang fuzzy system JM Won, SY Park, JS Lee Fuzzy Sets and Systems 132 (2), 135-146, 2002 | 108 | 2002 |
| Cumulative update of all-terminal reliability for faster feasibility decision JM Won, F Karray IEEE transactions on reliability 59 (3), 551-562, 2010 | 69 | 2010 |
| Hierarchical genetic algorithm with new evaluation function and bi-coded representation for the selection of features considering their confidence rate TM Hamdani, JM Won, AM Alimi, F Karray Applied Soft Computing 11 (2), 2501-2509, 2011 | 52 | 2011 |
| Optimal design of personal rapid transit JM Won, H Choe, F Karray 2006 IEEE Intelligent Transportation Systems Conference, 1489-1494, 2006 | 32 | 2006 |
| Method and system for merge control in an automated vehicle system JM Won, I Andreasson US Patent 8,145,368, 2012 | 29 | 2012 |
| Guideway network design of personal rapid transit system: a multiobjective genetic algorithm approach JM Won, KM Lee, JS Lee, F Karray 2006 IEEE International Conference on Evolutionary Computation, 2215-2221, 2006 | 28 | 2006 |
| Toward necessity of parametric conditions for monotonic fuzzy systems JM Won, F Karray IEEE Transactions on Fuzzy Systems 22 (2), 465-468, 2013 | 22 | 2013 |
| Least squares identification of monotonic fuzzy systems K Koo, JM Won, JS Lee IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS'04. 2 …, 2004 | 21 | 2004 |
| A greedy algorithm for faster feasibility evaluation of all-terminal-reliable networks JM Won, F Karray IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2011 | 20 | 2011 |
| Evolutionary computation based identification of a monotonic Takagi-Sugeno-Kang fuzzy system JM Won, K Seo, SK Hwang, JS Lee 10th IEEE International Conference on Fuzzy Systems.(Cat. No. 01CH37297) 3 …, 2001 | 13 | 2001 |
| Monotonic fuzzy systems as universal approximators for monotonic functions J Kim, JM Won, K Koo, JS Lee Intelligent Automation & Soft Computing 18 (1), 13-31, 2012 | 12 | 2012 |
| Data clustering using multi-objective hybrid evolutionary algorithm JM Won, S Ullah, F Karray 2008 international conference on control, automation and systems, 2298-2303, 2008 | 10 | 2008 |
| Personal rapid transit network design using genetic algorithm and ant colony system hybridization JM Won, F Karray 2008 International Conference on Control, Automation and Systems, 406-411, 2008 | 9 | 2008 |
| Multi-thread evolutionary programming and its application to truck-and-trailer backer-upper control CS Hong, JM Won, JS Lee IEICE transactions on fundamentals of electronics, communications and …, 2001 | 5 | 2001 |
| Necessity of parametric conditions for monotonic TSK fuzzy systems JM Won, F Karray 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2012 | 4 | 2012 |
| Scalable and robust self-learning for skill routing in large-scale conversational ai systems M Kachuee, J Nam, S Ahuja, JM Won, S Lee arXiv preprint arXiv:2204.07135, 2022 | 3 | 2022 |
| A genetic algorithm with cycle representation and contraction digraph model for guideway network design of personal rapid transit JM Won, F Karray 2007 IEEE Congress on Evolutionary Computation, 2405-2412, 2007 | 3 | 2007 |
| Premature convergence avoidance of self-adaptive evolution strategy JM Won, JS Lee The 5th International Conference on Simulated Evolution And Learning, 2004 | 3 | 2004 |
| Local convergence rate of evolutionary algorithm with combined mutation operator NG Kim, JM Won, JS Lee, SW Kim Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002 | 3 | 2002 |