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Xin Qiu
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Adaptive cross-generation differential evolution operators for multiobjective optimization
X Qiu, JX Xu, KC Tan, HA Abbass
IEEE Transactions on Evolutionary Computation 20 (2), 232-244, 2015
1152015
A new differential evolution algorithm for minimax optimization in robust design
X Qiu, JX Xu, Y Xu, KC Tan
IEEE transactions on cybernetics 48 (5), 1355-1368, 2017
832017
Multiple exponential recombination for differential evolution
X Qiu, KC Tan, JX Xu
IEEE transactions on cybernetics 47 (4), 995-1006, 2016
722016
Quantifying point-prediction uncertainty in neural networks via residual estimation with an i/o kernel
X Qiu, E Meyerson, R Miikkulainen
arXiv preprint arXiv:1906.00588, 2019
572019
Dynamic multiobjective optimization using evolutionary algorithm with Kalman filter
A Muruganantham, Y Zhao, SB Gee, X Qiu, KC Tan
Procedia Computer Science 24, 66-75, 2013
532013
From prediction to prescription: evolutionary optimization of nonpharmaceutical interventions in the COVID-19 pandemic
R Miikkulainen, O Francon, E Meyerson, X Qiu, D Sargent, E Canzani, ...
IEEE Transactions on Evolutionary Computation 25 (2), 386-401, 2021
452021
Effective reinforcement learning through evolutionary surrogate-assisted prescription
O Francon, S Gonzalez, B Hodjat, E Meyerson, R Miikkulainen, X Qiu, ...
Proceedings of the 2020 Genetic and evolutionary computation conference, 814-822, 2020
192020
A novel diversity maintenance scheme for evolutionary multi-objective optimization
SB Gee, X Qiu, KC Tan
Intelligent Data Engineering and Automated Learning–IDEAL 2013: 14th …, 2013
142013
Enhancing evolutionary optimization in uncertain environments by allocating evaluations via multi-armed bandit algorithms
X Qiu, R Miikkulainen
US Patent 11,574,201, 2023
112023
Ascend by Evolv: AI-based massively multivariate conversion rate optimization
R Miikulainen, M Brundage, J Epstein, T Foster, B Hodjat, N Iscoe, J Jiang, ...
AI Magazine 41 (1), 44-60, 2020
112020
Machine learning enhanced multi-objective evolutionary algorithm based on decomposition
YS Liau, KC Tan, J Hu, X Qiu, SB Gee
Intelligent Data Engineering and Automated Learning–IDEAL 2013: 14th …, 2013
92013
An opposition-based self-adaptive differential evolution with decomposition for solving the multiobjective multiple salesman problem
JK Chong, X Qiu
2016 IEEE Congress on Evolutionary Computation (CEC), 4096-4103, 2016
82016
Enhancing evolutionary conversion rate optimization via multi-armed bandit algorithms
X Qiu, R Miikkulainen
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9581-9588, 2019
62019
A new framework for self-adapting control parameters in multi-objective optimization
X Qiu, W Xu, JX Xu, KC Tan
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015
62015
Detecting misclassification errors in neural networks with a gaussian process model
X Qiu, R Miikkulainen
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 8017-8027, 2022
52022
Evaluating medical aesthetics treatments through evolved age-estimation models
R Miikkulainen, E Meyerson, X Qiu, U Sinha, R Kumar, K Hofmann, ...
Proceedings of the Genetic and Evolutionary Computation Conference, 1009-1017, 2021
52021
From prediction to prescription: Ai-based optimization of non-pharmaceutical interventions for the covid-19 pandemic
R Miikkulainen, O Francon, E Meyerson, X Qiu, E Canzani, B Hodjat
arXiv preprint arXiv:2005.13766, 2020
52020
A novel differential evolution (DE) algorithm for multi-objective optimization
X Qiu, J Xu, KC Tan
2014 IEEE Congress on Evolutionary Computation (CEC), 2391-2396, 2014
52014
Quantifying the predictive uncertainty of neural networks via residual estimation with I/O kernel
X Qiu, R Miikkulainen, E Meyerson
US Patent 11,681,901, 2023
42023
Simple genetic operators are universal approximators of probability distributions (and other advantages of expressive encodings)
E Meyerson, X Qiu, R Miikkulainen
Proceedings of the Genetic and Evolutionary Computation Conference, 739-748, 2022
32022
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