| A comparative study of dynamic resampling strategies for guided evolutionary multi-objective optimization F Siegmund, AHC Ng, K Deb 2013 IEEE Congress on Evolutionary Computation, 1826-1835, 2013 | 37 | 2013 |
| Finding a preferred diverse set of Pareto-optimal solutions for a limited number of function calls F Siegmund, AHC Ng, K Deb 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012 | 30 | 2012 |
| Reference point-based evolutionary multi-objective optimization for industrial systems simulation F Siegmund, J Bernedixen, L Pehrsson, AHC Ng, K Deb Proceedings of the 2012 Winter Simulation Conference (WSC), 1-11, 2012 | 27 | 2012 |
| Hybrid dynamic resampling for guided evolutionary multi-objective optimization F Siegmund, AHC Ng, K Deb Evolutionary Multi-Criterion Optimization: 8th International Conference, EMO …, 2015 | 26 | 2015 |
| Sequential sampling in noisy multi-objective evolutionary optimization F Siegmund | 13 | 2009 |
| R-HV: A metric for computing hyper-volume for reference point based EMOs K Deb, F Siegmund, AHC Ng Swarm, Evolutionary, and Memetic Computing: 5th International Conference …, 2015 | 12 | 2015 |
| A ranking and selection strategy for preference-based evolutionary multi-objective optimization of variable-noise problems F Siegmund, AHC Ng, K Deb 2016 IEEE Congress on Evolutionary Computation (CEC), 3035-3044, 2016 | 8 | 2016 |
| Reference point based evolutionary multi-objective optimization with dynamic resampling for production systems improvement AHC Ng, F Siegmund, K Deb Journal of Systems and Information Technology 20 (4), 489-512, 2018 | 7 | 2018 |
| Standard error dynamic resampling for preference-based evolutionary multi-objective optimization F Siegmund, AHC Ng, K Deb submitted to Computational Optimization and Innovation Laboratory, 1-13, 2016 | 5 | 2016 |
| Hybrid dynamic resampling algorithms for evolutionary multi-objective optimization of invariant-noise problems F Siegmund, AHC Ng, K Deb Applications of Evolutionary Computation: 19th European Conference …, 2016 | 5 | 2016 |
| Dynamic resampling for preference-based evolutionary multi-objective optimization of stochastic systems F Siegmund, AHC Ng, K Deb 23rd International Conference on Multiple Criteria Decision Making MCDM 2015 …, 2015 | 5 | 2015 |
| Dynamic Resampling for Preference-based Evolutionary Multi-objective Optimization of Stochastic Systems: Improving the efficiency of time-constrained optimization F Siegmund Högskolan i Skövde, 2016 | 4 | 2016 |
| A Comparative Study of Fast Adaptive Preference-Guided Evolutionary Multi-objective Optimization F Siegmund, AHC Ng, K Deb Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO …, 2017 | 2 | 2017 |
| Adaptive Guided Evolutionary Multi-Objective Optimization F Siegmund, K Deb, AHC Ng 22nd International Conference on Multiple Criteria Decision Making 2013, 17 …, 2013 | | 2013 |
| Dynamic Resampling for Guided Evolutionary Multi-Objective Optimization of Stochastic Systems F Siegmund, K Deb, A Karlsson, AHC Ng 22nd International Conference on Multiple Criteria Decision Making 2013, 17 …, 2013 | | 2013 |
| Optimal Computing Budget Allocation for Noisy Hypervolume-Based Multi-Objective Evolutionary Optimization F Siegmund | | 2011 |
Kalyanmoy DebUniversity Distinguished Professor, Electrical and Computer Engineering, Michigan State UniversityVerified email at egr.msu.edu
