Taimoor Akhtar

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Efficient Multi-Objective Optimization through Population-based Parallel Surrogate Search pdf

Taimoor Akhtar, Christine A. Shoemaker, C. Shoemaker, 2019, ArXiv.

Efficient Calibration of Computationally Expensive SWAT Watershed Models with a Parallel Surrogate Optimization Algorithm: SOP-Hybrid

Taimoor Akhtar, Christine A. Shoemaker, C. Shoemaker, 2018 .

A Parallel Simulation-Optimization Framework for Efficient Calibration of Computationally Expensive Urban Reservoir Hydrodynamic and Water Quality Models

Taimoor Akhtar, Christine A. Shoemaker, Wei Xia, 2018 .

Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF Surrogates

Taimoor Akhtar, Jiashi Feng, Ilija Ilievski, 2016, AAAI.

Surrogate Many Objective Optimization: Combining Evolutionary Search, \epsilon -Dominance and Connected Restarts

Taimoor Akhtar, Christine A. Shoemaker, Wenyu Wang, 2019, WCGO.

Advancing model calibration and uncertainty analysis of SWAT models using cloud computing infrastructure: LCC-SWAT

Taimoor Akhtar, Narayan Kumar Shrestha, Masood Zamani, 2020 .

SOP: parallel surrogate global optimization with Pareto center selection for computationally expensive single objective problems

Taimoor Akhtar, Christine A. Shoemaker, Tipaluck Krityakierne, 2016, J. Glob. Optim..

Efficient Multi-Objective Surrogate Optimization Of Computationally Expensive Models With Application To Watershed Model Calibration

Taimoor Akhtar, 2015 .

Efficient parallel surrogate optimization algorithm and framework with application to parameter calibration of computationally expensive three-dimensional hydrodynamic lake PDE models

Taimoor Akhtar, Manh-Tuan Nguyen, Wei Xia, 2021, Environ. Model. Softw..

Combining local surrogates and adaptive restarts for global optimization of moderately expensive functions

Taimoor Akhtar, Christine A. Shoemaker, C. Shoemaker, 2019 .

An adaptive population-based candidate search algorithm with surrogates for global multi objective optimization of expensive functions

Taimoor Akhtar, Christine A. Shoemaker, C. Shoemaker, 2019 .

SOP-Hybrid: A Parallel Surrogate-Based Candidate Search Algorithm for Expensive Optimization on Large Parallel Clusters

Taimoor Akhtar, Christine A. Shoemaker, C. Shoemaker, 2019, WCGO.

Parameter Estimation of Computationally Expensive Watershed Models Through Efficient Multi-objective Optimization and Interactive Decision Analytics

Taimoor Akhtar, Christine A. Shoemaker, C. Shoemaker, 2016 .

Hyperparameter Optimization of Deep Neural Networks Using Non-Probabilistic RBF Surrogate Model pdf

Taimoor Akhtar, Christine A. Shoemaker, Jiashi Feng, 2016, ArXiv.

Can-GLWS: Canadian Great Lakes Weather Service for the Soil and Water Assessment Tool (SWAT) modelling

Taimoor Akhtar, Narayan Kumar Shrestha, Prasad Daggupati, 2020 .

Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection

Taimoor Akhtar, Christine A. Shoemaker, C. Shoemaker, 2016, J. Glob. Optim..

Integrating $$\varepsilon $$ ε -dominance and RBF surrogate optimization for solving computationally expensive many-objective optimization problems

Taimoor Akhtar, Christine A. Shoemaker, Wenyu Wang, 2021, J. Glob. Optim..