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)

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)

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)

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)

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)