R. Regis

发表

A Stochastic Radial Basis Function Method for the Global Optimization of Expensive Functions

Christine A. Shoemaker, Rommel G. Regis, C. Shoemaker, 2007, INFORMS J. Comput..

Combining radial basis function surrogates and dynamic coordinate search in high-dimensional expensive black-box optimization

C. Shoemaker, R. Regis, 2013 .

Bayesian Calibration and Uncertainty Analysis for Computationally Expensive Models Using Optimization and Radial Basis Function Approximation

Stefan M. Wild, C. Shoemaker, R. Regis, 2008 .

Constrained optimization by radial basis function interpolation for high-dimensional expensive black-box problems with infeasible initial points

R. Regis, 2014 .

Particle swarm with radial basis function surrogates for expensive black-box optimization

Rommel G. Regis, R. Regis, 2014, J. Comput. Sci..

Evolutionary Programming for High-Dimensional Constrained Expensive Black-Box Optimization Using Radial Basis Functions

Rommel G. Regis, R. Regis, 2014, IEEE Transactions on Evolutionary Computation.

Local function approximation in evolutionary algorithms for the optimization of costly functions

Christine A. Shoemaker, Rommel G. Regis, C. Shoemaker, 2004, IEEE Transactions on Evolutionary Computation.

Exploring the Suitability of Support Vector Regression and Radial Basis Function Approximation to Forecast Sales of Fortune 500 Companies

Vivian M. Evangelista, R. Regis, 2019, Advances in Business and Management Forecasting.

An improvement performance guarantee for the partial latin square problem

David B. Shmoys, Rommel G. Regis, Carla P. Gomes, 2002 .

On the Convergence of Adaptive Stochastic Search Methods for Constrained and Multi-objective Black-Box Optimization

R. Regis, 2016, Journal of Optimization Theory and Applications.

On the properties of the cosine measure and the uniform angle subspace

R. Regis, 2021, Computational Optimization and Applications.

On the properties of positive spanning sets and positive bases

R. Regis, 2015, Optimization and Engineering.

The calculus of simplex gradients

R. Regis, 2014, Optimization Letters.

A quasi-multistart framework for global optimization of expensive functions using response surface models

R. Regis, C. Shoemaker, 2012, Journal of Global Optimization.

Trust regions in Kriging-based optimization with expected improvement

Rommel G. Regis, R. Regis, 2016 .

A quasi-multistart framework for global optimization of expensive functions using response surface models

Christine A. Shoemaker, Rommel G. Regis, C. Shoemaker, 2013, J. Glob. Optim..

Stochastic radial basis function algorithms for large-scale optimization involving expensive black-box objective and constraint functions

Rommel G. Regis, R. Regis, 2011, Comput. Oper. Res..

Parallel Stochastic Global Optimization Using Radial Basis Functions

Christine A. Shoemaker, Rommel G. Regis, C. Shoemaker, 2009, INFORMS J. Comput..

Parallel radial basis function methods for the global optimization of expensive functions

Christine A. Shoemaker, Rommel G. Regis, C. Shoemaker, 2007, Eur. J. Oper. Res..

Watershed calibration using multistart local optimization and evolutionary optimization with radial basis function approximation

Christine A. Shoemaker, Rommel G. Regis, Ryan C. Fleming, 2007 .

Improved Strategies for Radial basis Function Methods for Global Optimization

Christine A. Shoemaker, Rommel G. Regis, C. Shoemaker, 2007, J. Glob. Optim..

Comparison of function approximation, heuristic, and derivative‐based methods for automatic calibration of computationally expensive groundwater bioremediation models

Christine A. Shoemaker, Rommel G. Regis, Pradeep Mugunthan, 2005 .

An Initialization Strategy for High-Dimensional Surrogate-Based Expensive Black-Box Optimization

Rommel G. Regis, R. Regis, 2013 .

Efficient global optimization for high-dimensional constrained problems by using the Kriging models combined with the partial least squares method

Joseph Morlier, Nathalie Bartoli, Rommel G. Regis, 2018 .

ORBIT: Optimization by Radial Basis Function Interpolation in Trust-Regions

Christine A. Shoemaker, Stefan M. Wild, Rommel G. Regis, 2008, SIAM J. Sci. Comput..

Bayesian Calibration of Computationally Expensive Models Using Optimization and Radial Basis Function Approximation

Stefan M. Wild, Pradeep Mugunthan, Christine Shoemaker, 2006 .

CONORBIT: constrained optimization by radial basis function interpolation in trust regions†

Stefan M. Wild, Rommel G. Regis, R. Regis, 2017, Optim. Methods Softw..

Global optimization using q-gradients

Érica J.C. Gouvêa, Rommel G. Regis, Aline C. Soterroni, 2016, Eur. J. Oper. Res..

Surrogate-based pumping optimization of coastal aquifers under limited computational budgets

Rommel G. Regis, Vasileios Christelis, Aristotelis Mantoglou, 2018 .

Benchmarking constrained surrogate-based optimization on low speed airfoil design problems

Akira Oyama, Pramudita Satria Palar, Rommel G. Regis, 2019, GECCO.

A surrogate-assisted evolution strategy for constrained multi-objective optimization

Rituparna Datta, Rommel G. Regis, R. Regis, 2016, Expert Syst. Appl..

High-Dimensional Constrained Discrete Multi-objective Optimization Using Surrogates

Rommel G. Regis, R. Regis, 2020, International Conference on Machine Learning, Optimization, and Data Science.

A two-phase surrogate approach for high-dimensional constrained discrete multi-objective optimization

Rommel G. Regis, R. Regis, 2021, GECCO Companion.

Large-Scale Discrete Constrained Black-Box Optimization Using Radial Basis Functions

Rommel G. Regis, R. Regis, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Multi-objective constrained black-box optimization using radial basis function surrogates

Rommel G. Regis, R. Regis, 2016, J. Comput. Sci..

The calculus of simplex gradients

Rommel G. Regis, R. Regis, 2015, Optim. Lett..

Constrained Global Optimization of Expensive Black Box Functions Using Radial Basis Functions

Christine A. Shoemaker, Rommel G. Regis, C. Shoemaker, 2005, J. Glob. Optim..

Accelerated Random Search for constrained global optimization assisted by Radial Basis Function surrogates

Rommel G. Regis, Luigi Nuñez, Kayla Varela, 2018, J. Comput. Appl. Math..

Trust Regions in Surrogate-Assisted Evolutionary Programming for Constrained Expensive Black-Box Optimization

Rommel G. Regis, R. Regis, 2015 .

Improvement of efficient global optimization with application to aircraft wing design

Joseph Morlier, Nathalie Bartoli, Rommel G. Regis, 2016 .

MAPO: using a committee of algorithm-experts for parallel optimization of costly functions

Christine A. Shoemaker, Rommel G. Regis, C. Shoemaker, 2003, SPAA '03.

Machine Learning and Statistical Models for the Prevalence of Multiple Sclerosis

Rommel G. Regis, Elizabeth Bloom, Nicholas Mandarano, 2020, LOD.

High-Dimensional Constrained Discrete Expensive Black-Box Optimization Using a Two-Phase Surrogate Approach

Rommel G. Regis, R. Regis, 2021, Communication Systems and Applications.

A multiobjective approach for maximizing the reach or GRP of different brands in TV advertising

Rommel G. Regis, Vivian M. Evangelista, R. Regis, 2020, International Transactions in Operational Research.

Convergence guarantees for generalized adaptive stochastic search methods for continuous global optimization

Rommel G. Regis, R. Regis, 2010, Eur. J. Oper. Res..

On the properties of positive spanning sets and positive bases

Rommel G. Regis, R. Regis, 2016 .

On the properties of the cosine measure and the uniform angle subspace

Rommel G. Regis, R. Regis, 2021, Comput. Optim. Appl..

A Survey of Surrogate Approaches for Expensive Constrained Black-Box Optimization

Rommel G. Regis, R. Regis, 2019, WCGO.

Particle swarm with radial basis function surrogates for expensive black-box optimization

R. Regis, 2014, J. Comput. Sci..