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ORCIDChristine A. Shoemaker
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2020 – today
- 2024
[j36]Wei Xia
, Taimoor Akhtar, Wei Lu, Christine A. Shoemaker:
Enhanced watershed model evaluation incorporating hydrologic signatures and consistency within efficient surrogate multi-objective optimization. Environ. Model. Softw. 175: 105983 (2024)- [j35]Wei Xia, Ilija Ilievski, Christine Ann Shoemaker:
Enhancing algal bloom forecasting: A novel framework for machine learning performance evaluation during periods of special temporal patterns. Environ. Model. Softw. 180: 106164 (2024) - [j34]Danny D'Agostino, Ilija Ilievski, Christine Annette Shoemaker:
Learning active subspaces and discovering important features with Gaussian radial basis functions neural networks. Neural Networks 176: 106335 (2024) - 2023
- [j33]Wenyu Wang, Christine A. Shoemaker:
Reference Vector Assisted Candidate Search with Aggregated Surrogate for Computationally Expensive Many Objective Optimization Problems. INFORMS J. Comput. 35(2): 318-334 (2023) - [i5]Danny D'Agostino, Ilija Ilievski, Christine Annette Shoemaker:
Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural Networks. CoRR abs/2307.05639 (2023) - 2022
- [j32]Wei Xia, Christine A. Shoemaker:
Improving the speed of global parallel optimization on PDE models with processor affinity scheduling. Comput. Aided Civ. Infrastructure Eng. 37(3): 279-299 (2022) - [j31]Min Pang, Christine Annette Shoemaker, David Bindel:
Early termination strategies with asynchronous parallel optimization in application to automatic calibration of groundwater PDE models. Environ. Model. Softw. 147: 105237 (2022) - [j30]Wenyu Wang, Taimoor Akhtar, Christine A. Shoemaker:
Integrating ε-dominance and RBF surrogate optimization for solving computationally expensive many-objective optimization problems. J. Glob. Optim. 82(4): 965-992 (2022) - 2021
- [j29]Liping Wei, Peng Jiang, Wenming Yang, Xiao Liu, Yanjun Dai, Christine A. Shoemaker, Chi-Hwa Wang:
Input parameter tuning of 3D biodiesel engine simulation using parallel surrogate optimization algorithm. Comput. Chem. Eng. 145: 107180 (2021) - [j28]Xin He, Chi-Hwa Wang, Christine A. Shoemaker:
Multi-objective optimization of an integrated biomass waste fixed-bed gasification system for power and biochar co-production. Comput. Chem. Eng. 154: 107457 (2021) - [j27]Wei Xia, Christine A. Shoemaker, Taimoor Akhtar, Manh-Tuan Nguyen:
Efficient parallel surrogate optimization algorithm and framework with application to parameter calibration of computationally expensive three-dimensional hydrodynamic lake PDE models. Environ. Model. Softw. 135: 104910 (2021) - [c15]Zhenhua Li, Christine A. Shoemaker:
Hyper-Parameter Optimization for Deep Learning by Surrogate-based Model with Weighted Distance Exploration. CEC 2021: 917-925 - 2020
- [c14]Xiao Jin, Yichi Shen, Haobin Li, Loo Hay Lee, Ek Peng Chew, Christine A. Shoemaker:
Combining Adaptive Budget Allocation with Surrogate Methodology in Solving Continuous Scenario-based Simulation Optimization. CASE 2020: 1509-1513 - [c13]Neeraj Kulkarni, Gonzalo Gonzalez-Pumariega, Amulya Khurana, Christine A. Shoemaker, Christina Delimitrou, David H. Albonesi:
CuttleSys: Data-Driven Resource Management for Interactive Services on Reconfigurable Multicores. MICRO 2020: 650-664 - [c12]Xiao Jin, Yichi Shen, Loo Hay Lee, Ek Peng Chew, Christine A. Shoemaker:
A Hybrid of Shrinking Ball Method and Optimal Large Deviation Rate Estimation in Continuous Contextual Simulation Optimization with Single Observation. WSC 2020: 2996-3007 - [c11]Yichi Shen, Christine A. Shoemaker:
Global Optimization for Noisy Expensive Black-Box Multi-Modal Functions Via Radial Basis Function Surrogate. WSC 2020: 3020-3031 - [i4]Neeraj Kulkarni, Gonzalo Gonzalez-Pumariega, Amulya Khurana, Christine A. Shoemaker, Christina Delimitrou, David H. Albonesi:
CuttleSys: Data-Driven Resource Management forInteractive Applications on Reconfigurable Multicores. CoRR abs/2008.00329 (2020)
2010 – 2019
- 2019
- [j26]Jin Yi, Liang Gao, Xinyu Li, Christine A. Shoemaker, Chao Lu:
An on-line variable-fidelity surrogate-assisted harmony search algorithm with multi-level screening strategy for expensive engineering design optimization. Knowl. Based Syst. 170: 1-19 (2019) - [c10]Taimoor Akhtar, Christine A. Shoemaker:
SOP-Hybrid: A Parallel Surrogate-Based Candidate Search Algorithm for Expensive Optimization on Large Parallel Clusters. WCGO 2019: 672-680 - [c9]Taimoor Akhtar, Christine A. Shoemaker, Wenyu Wang:
Surrogate Many Objective Optimization: Combining Evolutionary Search, \epsilon -Dominance and Connected Restarts. WCGO 2019: 681-690 - [i3]Taimoor Akhtar, Christine A. Shoemaker:
Efficient Multi-Objective Optimization through Population-based Parallel Surrogate Search. CoRR abs/1903.02167 (2019) - [i2]David Eriksson, David Bindel, Christine A. Shoemaker:
pySOT and POAP: An event-driven asynchronous framework for surrogate optimization. CoRR abs/1908.00420 (2019) - 2018
- [j25]Adithya Sagar, Rachel LeCover, Christine Ann Shoemaker, Jeffrey D. Varner:
Dynamic Optimization with Particle Swarms (DOPS): a meta-heuristic for parameter estimation in biochemical models. BMC Syst. Biol. 12(1): 87:1-87:15 (2018) - 2017
- [j24]Zhou He, Jie Xiong, Tsan Sheng Ng, Bo Fan, Christine A. Shoemaker:
Managing competitive municipal solid waste treatment systems: An agent-based approach. Eur. J. Oper. Res. 263(3): 1063-1077 (2017) - [j23]Tipaluck Krityakierne, Christine A. Shoemaker:
SOMS: SurrOgate MultiStart algorithm for use with nonlinear programming for global optimization. Int. Trans. Oper. Res. 24(5): 1139-1172 (2017) - [c8]Ilija Ilievski, Taimoor Akhtar, Jiashi Feng, Christine Annette Shoemaker:
Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF Surrogates. AAAI 2017: 822-829 - [c7]P. Jiang, Xiao Liu, Christine A. Shoemaker:
An Adaptive Particle Swarm Algorithm for Unconstrained Global Optimization of Multimodal Functions. ICMLC 2017: 221-226 - 2016
- [j22]Taimoor Akhtar, Christine A. Shoemaker:
Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection. J. Glob. Optim. 64(1): 17-32 (2016) - [j21]Tipaluck Krityakierne, Taimoor Akhtar, Christine A. Shoemaker:
SOP: parallel surrogate global optimization with Pareto center selection for computationally expensive single objective problems. J. Glob. Optim. 66(3): 417-437 (2016) - [i1]Ilija Ilievski, Taimoor Akhtar, Jiashi Feng, Christine A. Shoemaker:
Hyperparameter Optimization of Deep Neural Networks Using Non-Probabilistic RBF Surrogate Model. CoRR abs/1607.08316 (2016) - 2015
- [j20]Fang-Fang Li, Christine A. Shoemaker, Jun Qiu, Jia-Hua Wei:
Hierarchical multi-reservoir optimization modeling for real-world complexity with application to the Three Gorges system. Environ. Model. Softw. 69: 319-329 (2015) - [c6]Christine A. Shoemaker, Yilun Wang:
Global sensitivity analysis for computationally expensive models based on radial basis function interpolationand optimization. IEEM 2015: 1164-1168 - 2014
- [j19]Juliane Müller, Christine A. Shoemaker, Robert Piché:
SO-I: a surrogate model algorithm for expensive nonlinear integer programming problems including global optimization applications. J. Glob. Optim. 59(4): 865-889 (2014) - [j18]Juliane Müller, Christine A. Shoemaker:
Influence of ensemble surrogate models and sampling strategy on the solution quality of algorithms for computationally expensive black-box global optimization problems. J. Glob. Optim. 60(2): 123-144 (2014) - [c5]Juliane Müller, Tipaluck Krityakierne, Christine A. Shoemaker:
SO-MODS: Optimization for high dimensional computationally expensive multi-modal functions with surrogate search. IEEE Congress on Evolutionary Computation 2014: 1092-1099 - 2013
- [j17]Juliane Müller, Christine A. Shoemaker, Robert Piché:
SO-MI: A surrogate model algorithm for computationally expensive nonlinear mixed-integer black-box global optimization problems. Comput. Oper. Res. 40(5): 1383-1400 (2013) - [j16]Rommel G. Regis, Christine A. Shoemaker:
A quasi-multistart framework for global optimization of expensive functions using response surface models. J. Glob. Optim. 56(4): 1719-1753 (2013) - [j15]Stefan M. Wild, Christine A. Shoemaker:
Global Convergence of Radial Basis Function Trust-Region Algorithms for Derivative-Free Optimization. SIAM Rev. 55(2): 349-371 (2013) - [c4]Paula Petrica, Adam M. Izraelevitz, David H. Albonesi, Christine A. Shoemaker:
Flicker: a dynamically adaptive architecture for power limited multicore systems. ISCA 2013: 13-23 - 2011
- [j14]Stefan M. Wild, Christine A. Shoemaker:
Global Convergence of Radial Basis Function Trust Region Derivative-Free Algorithms. SIAM J. Optim. 21(3): 761-781 (2011) - 2010
- [c3]Jonathan A. Winter, David H. Albonesi, Christine A. Shoemaker:
Scalable thread scheduling and global power management for heterogeneous many-core architectures. PACT 2010: 29-40
2000 – 2009
- 2009
- [j13]Rommel G. Regis, Christine A. Shoemaker:
Parallel Stochastic Global Optimization Using Radial Basis Functions. INFORMS J. Comput. 21(3): 411-426 (2009) - 2008
- [j12]Stefan M. Wild, Rommel G. Regis, Christine A. Shoemaker:
ORBIT: Optimization by Radial Basis Function Interpolation in Trust-Regions. SIAM J. Sci. Comput. 30(6): 3197-3219 (2008) - 2007
- [j11]Rommel G. Regis, Christine A. Shoemaker:
Parallel radial basis function methods for the global optimization of expensive functions. Eur. J. Oper. Res. 182(2): 514-535 (2007) - [j10]Rommel G. Regis, Christine A. Shoemaker:
A Stochastic Radial Basis Function Method for the Global Optimization of Expensive Functions. INFORMS J. Comput. 19(4): 497-509 (2007) - [j9]Rommel G. Regis, Christine A. Shoemaker:
Improved Strategies for Radial basis Function Methods for Global Optimization. J. Glob. Optim. 37(1): 113-135 (2007) - 2005
- [j8]Rommel G. Regis, Christine A. Shoemaker:
Constrained Global Optimization of Expensive Black Box Functions Using Radial Basis Functions. J. Glob. Optim. 31(1): 153-171 (2005) - 2004
- [j7]Rommel G. Regis, Christine A. Shoemaker:
Local function approximation in evolutionary algorithms for the optimization of costly functions. IEEE Trans. Evol. Comput. 8(5): 490-505 (2004) - 2003
- [c2]Christine A. Shoemaker, Rommel G. Regis:
MAPO: using a committee of algorithm-experts for parallel optimization of costly functions. SPAA 2003: 242-243
1990 – 1999
- 1999
- [j6]Victoria C. P. Chen, David Ruppert, Christine A. Shoemaker:
Applying Experimental Design and Regression Splines to High-Dimensional Continuous-State Stochastic Dynamic Programming. Oper. Res. 47(1): 38-53 (1999) - 1995
- [j5]Elizabeth A. Eschenbach, Christine A. Shoemaker, Hugh M. Caffey:
Parallel Algorithms for Stochastic Dynamic Programming with Continuous State and Control Variables. INFORMS J. Comput. 7(4): 386-401 (1995) - 1993
- [j4]Sharon A. Johnson, Jery R. Stedinger, Christine A. Shoemaker, Ying Li, José Alberto Tejada-Guibert:
Numerical Solution of Continuous-State Dynamic Programs Using Linear and Spline Interpolation. Oper. Res. 41(3): 484-500 (1993) - [j3]Hugh M. Caffey, Li-Zhi Liao, Christine A. Shoemaker:
Parallel Processing of Large Scale Discrete-Time Unconstrained Differential Dynamic Programming. Parallel Comput. 19(9): 1003-1017 (1993) - [c1]Li-Zhi Liao, Christine A. Shoemaker:
A Parallel Clustered Dynamic Programming Algorithm for Discrete Time Optimal Control Problems. PPSC 1993: 632-638
1980 – 1989
- 1982
- [j2]Christine A. Shoemaker:
Optimal Integrated Control of Univoltine Pest Populations with Age Structure. Oper. Res. 30(1): 40-61 (1982) - 1980
- [j1]Robert B. Rovinsky, Christine A. Shoemaker, Michael J. Todd:
Determining Optimal Use of Resources among Regional Producers under Differing Levels of Cooperation. Oper. Res. 28(4): 859-866 (1980)
Coauthor Index
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last updated on 2024-09-10 01:17 CEST by the dblp team
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