Determining Optimal Use of Resources among Regional Producers under Differing Levels of Cooperation. - Robert B. Rovinsky; Christine A. Shoemaker; Michael J. Todd (Oper. Res., 1980)

Optimal Integrated Control of Univoltine Pest Populations with Age Structure. - Christine A. Shoemaker (Oper. Res., 1982)

A Parallel Clustered Dynamic Programming Algorithm for Discrete Time Optimal Control Problems. - Li-Zhi Liao; Christine A. Shoemaker (PPSC, 1993)

Numerical Solution of Continuous-State Dynamic Programs Using Linear and Spline Interpolation. - Sharon A. Johnson; Jery R. Stedinger; Christine A. Shoemaker; Ying Li; José Alberto Tejada-Guibert (Oper. Res., 1993)

Parallel Processing of Large Scale Discrete-Time Unconstrained Differential Dynamic Programming. - Hugh M. Caffey; Li-Zhi Liao; Christine A. Shoemaker (Parallel Comput., 1993)

Parallel Algorithms for Stochastic Dynamic Programming with Continuous State and Control Variables. - Elizabeth A. Eschenbach; Christine A. Shoemaker; Hugh M. Caffey (INFORMS J. Comput., 1995)

Applying Experimental Design and Regression Splines to High-Dimensional Continuous-State Stochastic Dynamic Programming. - Victoria C. P. Chen; David Ruppert; Christine A. Shoemaker (Oper. Res., 1999)

MAPO: using a committee of algorithm-experts for parallel optimization of costly functions. - Christine A. Shoemaker; Rommel G. Regis (SPAA, 2003)

Local function approximation in evolutionary algorithms for the optimization of costly functions. - Rommel G. Regis; Christine A. Shoemaker (IEEE Trans. Evol. Comput., 2004)

Constrained Global Optimization of Expensive Black Box Functions Using Radial Basis Functions. - Rommel G. Regis; Christine A. Shoemaker (J. Glob. Optim., 2005)

Parallel radial basis function methods for the global optimization of expensive functions. - Rommel G. Regis; Christine A. Shoemaker (Eur. J. Oper. Res., 2007)

A Stochastic Radial Basis Function Method for the Global Optimization of Expensive Functions. - Rommel G. Regis; Christine A. Shoemaker (INFORMS J. Comput., 2007)

Improved Strategies for Radial basis Function Methods for Global Optimization. - Rommel G. Regis; Christine A. Shoemaker (J. Glob. Optim., 2007)

ORBIT: Optimization by Radial Basis Function Interpolation in Trust-Regions. - Stefan M. Wild; Rommel G. Regis; Christine A. Shoemaker (SIAM J. Sci. Comput., 2008)

Parallel Stochastic Global Optimization Using Radial Basis Functions. - Rommel G. Regis; Christine A. Shoemaker (INFORMS J. Comput., 2009)

Scalable thread scheduling and global power management for heterogeneous many-core architectures. - Jonathan A. Winter; David H. Albonesi; Christine A. Shoemaker (PACT, 2010)

Global Convergence of Radial Basis Function Trust Region Derivative-Free Algorithms. - Stefan M. Wild; Christine A. Shoemaker (SIAM J. Optim., 2011)

Flicker: a dynamically adaptive architecture for power limited multicore systems. - Paula Petrica; Adam M. Izraelevitz; David H. Albonesi; Christine A. Shoemaker (ISCA, 2013)

SO-MI: A surrogate model algorithm for computationally expensive nonlinear mixed-integer black-box global optimization problems. - Juliane Müller 004; Christine A. Shoemaker; Robert Piché (Comput. Oper. Res., 2013)

A quasi-multistart framework for global optimization of expensive functions using response surface models. - Rommel G. Regis; Christine A. Shoemaker (J. Glob. Optim., 2013)

Global Convergence of Radial Basis Function Trust-Region Algorithms for Derivative-Free Optimization. - Stefan M. Wild; Christine A. Shoemaker (SIAM Rev., 2013)

SO-MODS: Optimization for high dimensional computationally expensive multi-modal functions with surrogate search. - Juliane Müller 004; Tipaluck Krityakierne; Christine A. Shoemaker (IEEE Congress on Evolutionary Computation, 2014)

Influence of ensemble surrogate models and sampling strategy on the solution quality of algorithms for computationally expensive black-box global optimization problems. - Juliane Müller 004; Christine A. Shoemaker (J. Glob. Optim., 2014)

SO-I: a surrogate model algorithm for expensive nonlinear integer programming problems including global optimization applications. - Juliane Müller 004; Christine A. Shoemaker; Robert Piché (J. Glob. Optim., 2014)

Global sensitivity analysis for computationally expensive models based on radial basis function interpolationand optimization. - Christine A. Shoemaker; Yilun Wang (IEEM, 2015)

Hierarchical multi-reservoir optimization modeling for real-world complexity with application to the Three Gorges system. - Fang-Fang Li; Christine A. Shoemaker; Jun Qiu; Jia-Hua Wei (Environ. Model. Softw., 2015)

Hyperparameter Optimization of Deep Neural Networks Using Non-Probabilistic RBF Surrogate Model. - Ilija Ilievski; Taimoor Akhtar; Jiashi Feng; Christine A. Shoemaker (CoRR, 2016)

Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection. - Taimoor Akhtar; Christine A. Shoemaker (J. Glob. Optim., 2016)

SOP: parallel surrogate global optimization with Pareto center selection for computationally expensive single objective problems. - Tipaluck Krityakierne; Taimoor Akhtar; Christine A. Shoemaker (J. Glob. Optim., 2016)

Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF Surrogates. - Ilija Ilievski; Taimoor Akhtar; Jiashi Feng; Christine Annette Shoemaker (AAAI, 2017)

An Adaptive Particle Swarm Algorithm for Unconstrained Global Optimization of Multimodal Functions. - P. Jiang; Xiao Liu 002; Christine A. Shoemaker (ICMLC, 2017)

Managing competitive municipal solid waste treatment systems: An agent-based approach. - Zhou He 004; Jie Xiong 005; Tsan Sheng Ng; Bo Fan 004; Christine A. Shoemaker (Eur. J. Oper. Res., 2017)

SOMS: SurrOgate MultiStart algorithm for use with nonlinear programming for global optimization. - Tipaluck Krityakierne; Christine A. Shoemaker (Int. Trans. Oper. Res., 2017)

Dynamic Optimization with Particle Swarms (DOPS): a meta-heuristic for parameter estimation in biochemical models. - Adithya Sagar; Rachel LeCover; Christine Ann Shoemaker; Jeffrey D. Varner (BMC Syst. Biol., 2018)

SOP-Hybrid: A Parallel Surrogate-Based Candidate Search Algorithm for Expensive Optimization on Large Parallel Clusters. - Taimoor Akhtar; Christine A. Shoemaker (WCGO, 2019)

Surrogate Many Objective Optimization: Combining Evolutionary Search, epsilon -Dominance and Connected Restarts. - Taimoor Akhtar; Christine A. Shoemaker; Wenyu Wang (WCGO, 2019)

Efficient Multi-Objective Optimization through Population-based Parallel Surrogate Search. - Taimoor Akhtar; Christine A. Shoemaker (CoRR, 2019)

pySOT and POAP: An event-driven asynchronous framework for surrogate optimization. - David Eriksson; David Bindel; Christine A. Shoemaker (CoRR, 2019)

An on-line variable-fidelity surrogate-assisted harmony search algorithm with multi-level screening strategy for expensive engineering design optimization. - Jin Yi; Liang Gao 001; Xinyu Li 001; Christine A. Shoemaker; Chao Lu 008 (Knowl. Based Syst., 2019)

Combining Adaptive Budget Allocation with Surrogate Methodology in Solving Continuous Scenario-based Simulation Optimization. - Xiao Jin; Yichi Shen; Haobin Li; Loo Hay Lee; Ek Peng Chew; Christine A. Shoemaker (CASE, 2020)

CuttleSys: Data-Driven Resource Management for Interactive Services on Reconfigurable Multicores. - Neeraj Kulkarni; Gonzalo Gonzalez-Pumariega; Amulya Khurana; Christine A. Shoemaker; Christina Delimitrou; David H. Albonesi (MICRO, 2020)

A Hybrid of Shrinking Ball Method and Optimal Large Deviation Rate Estimation in Continuous Contextual Simulation Optimization with Single Observation. - Xiao Jin; Yichi Shen; Loo Hay Lee; Ek Peng Chew; Christine A. Shoemaker (WSC, 2020)

Global Optimization for Noisy Expensive Black-Box Multi-Modal Functions Via Radial Basis Function Surrogate. - Yichi Shen; Christine A. Shoemaker (WSC, 2020)

CuttleSys: Data-Driven Resource Management forInteractive Applications on Reconfigurable Multicores. - Neeraj Kulkarni; Gonzalo Gonzalez-Pumariega; Amulya Khurana; Christine A. Shoemaker; Christina Delimitrou; David H. Albonesi (CoRR, 2020)

Hyper-Parameter Optimization for Deep Learning by Surrogate-based Model with Weighted Distance Exploration. - Zhenhua Li; Christine A. Shoemaker (CEC, 2021)

Multi-objective optimization of an integrated biomass waste fixed-bed gasification system for power and biochar co-production. - Xin He; Chi-Hwa Wang; Christine A. Shoemaker (Comput. Chem. Eng., 2021)

Input parameter tuning of 3D biodiesel engine simulation using parallel surrogate optimization algorithm. - Liping Wei; Peng Jiang; Wenming Yang; Xiao Liu 002; Yanjun Dai; Christine A. Shoemaker; Chi-Hwa Wang (Comput. Chem. Eng., 2021)

Efficient parallel surrogate optimization algorithm and framework with application to parameter calibration of computationally expensive three-dimensional hydrodynamic lake PDE models. - Wei Xia; Christine A. Shoemaker; Taimoor Akhtar; Manh-Tuan Nguyen (Environ. Model. Softw., 2021)

Improving the speed of global parallel optimization on PDE models with processor affinity scheduling. - Wei Xia; Christine A. Shoemaker (Comput. Aided Civ. Infrastructure Eng., 2022)

Early termination strategies with asynchronous parallel optimization in application to automatic calibration of groundwater PDE models. - Min Pang; Christine Annette Shoemaker; David Bindel (Environ. Model. Softw., 2022)

Integrating ε-dominance and RBF surrogate optimization for solving computationally expensive many-objective optimization problems. - Wenyu Wang; Taimoor Akhtar; Christine A. Shoemaker (J. Glob. Optim., 2022)

Reference Vector Assisted Candidate Search with Aggregated Surrogate for Computationally Expensive Many Objective Optimization Problems. - Wenyu Wang; Christine A. Shoemaker (INFORMS J. Comput., 2023)

Enhanced watershed model evaluation incorporating hydrologic signatures and consistency within efficient surrogate multi-objective optimization. - Wei Xia; Taimoor Akhtar; Wei Lu 030; Christine A. Shoemaker (Environ. Model. Softw., 2024)

Enhancing algal bloom forecasting: A novel framework for machine learning performance evaluation during periods of special temporal patterns. - Wei Xia; Ilija Ilievski; Christine Ann Shoemaker (Environ. Model. Softw., 2024)

Learning active subspaces and discovering important features with Gaussian radial basis functions neural networks. - Danny D'Agostino; Ilija Ilievski; Christine Annette Shoemaker (Neural Networks, 2024)

Solving higher dimensional expensive black box global optimization problems using sparse directional search on surrogates. - Limeng Liu; Muming Yang; Christine A. Shoemaker; Tingting Xie (Math. Program. Comput., 2024)