1 |
Optimal Computing Budget Allocation to Select the Nondominated Systems-A Large Deviations Perspective Li JX, Liu WZ, Pedrielli G, Lee LH, Chew EP IEEE Transactions on Automatic Control, 63(9), 2913, 2018 |
2 |
Simulation Budget Allocation for Selecting the Top-m Designs With Input Uncertainty Xiao H, Gao SY IEEE Transactions on Automatic Control, 63(9), 3127, 2018 |
3 |
Robust ranking and selection with optimal computing budget allocation Gao SY, Xiao H, Zhou E, Chen WW Automatica, 81, 30, 2017 |
4 |
Simulation budget allocation for simultaneously selecting the best and worst subsets* Xiao H, Gao SY, Lee LH Automatica, 84, 117, 2017 |
5 |
Approximately Optimal Computing Budget Allocation for Selection of the Best and Worst Designs Zhang JQ, Zhang L, Wang C, Zhou MC IEEE Transactions on Automatic Control, 62(7), 3249, 2017 |
6 |
Efficient Computing Budget Allocation for Simulation-Based Optimization With Stochastic Simulation Time Jia QS IEEE Transactions on Automatic Control, 58(2), 539, 2013 |
7 |
Approximate Simulation Budget Allocation for Selecting the Best Design in the Presence of Stochastic Constraints Lee LH, Pujowidianto NA, Li LW, Chen CH, Yap CM IEEE Transactions on Automatic Control, 57(11), 2940, 2012 |
8 |
Budget Allocation for Effective Data Collection in Predicting an Accurate DEA Efficiency Score Wong WP, Jaruphongsa W, Lee LH IEEE Transactions on Automatic Control, 56(6), 1235, 2011 |
9 |
Computing budget allocation rules for multi-objective simulation models based on different measures of selection quality Lee LH, Chew EP, Teng SY Automatica, 46(12), 1935, 2010 |
10 |
Computing budget allocation for efficient ranking and selection of variances with application to target tracking algorithms Trailovic L, Pao LY IEEE Transactions on Automatic Control, 49(1), 58, 2004 |