Rommel G. Regis

Orcid: 0000-0002-3468-5146

According to our database1, Rommel G. Regis authored at least 38 papers between 2003 and 2023.

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Bibliography

2023
Radial Basis Function and Bayesian Methods for the Hyperparameter Optimization of Classification Random Forests.
Proceedings of the Computational Science and Its Applications - ICCSA 2023 Workshops, 2023

2022
Hyperparameter Tuning of Random Forests Using Radial Basis Function Models.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022

A Bootstrap-Surrogate Approach for Sequential Experimental Design for Simulation Models.
Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022

2021
On the properties of the cosine measure and the uniform angle subspace.
Comput. Optim. Appl., 2021

Accelerated Random Search for Black-Box Constraint Satisfaction and Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

A Hybrid Surrogate-Assisted Accelerated Random Search and Trust Region Approach for Constrained Black-Box Optimization.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021

High-Dimensional Constrained Discrete Expensive Black-Box Optimization Using a Two-Phase Surrogate Approach.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

A two-phase surrogate approach for high-dimensional constrained discrete multi-objective optimization.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
A multiobjective approach for maximizing the reach or GRP of different brands in TV advertising.
Int. Trans. Oper. Res., 2020

Large-Scale Discrete Constrained Black-Box Optimization Using Radial Basis Functions.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

High-Dimensional Constrained Discrete Multi-objective Optimization Using Surrogates.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Machine Learning and Statistical Models for the Prevalence of Multiple Sclerosis.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019
A Survey of Surrogate Approaches for Expensive Constrained Black-Box Optimization.
Proceedings of the Optimization of Complex Systems: Theory, 2019

A hybrid between a surrogate-assisted evolutionary algorithm and a trust region method for constrained optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Benchmarking constrained surrogate-based optimization on low speed airfoil design problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Accelerated Random Search for constrained global optimization assisted by Radial Basis Function surrogates.
J. Comput. Appl. Math., 2018

Surrogate-Assisted Particle Swarm with Local Search for Expensive Constrained Optimization.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2018

2017
CONORBIT: constrained optimization by radial basis function interpolation in trust regions.
Optim. Methods Softw., 2017

2016
On the Convergence of Adaptive Stochastic Search Methods for Constrained and Multi-objective Black-Box Optimization.
J. Optim. Theory Appl., 2016

Multi-objective constrained black-box optimization using radial basis function surrogates.
J. Comput. Sci., 2016

A surrogate-assisted evolution strategy for constrained multi-objective optimization.
Expert Syst. Appl., 2016

Global optimization using q-gradients.
Eur. J. Oper. Res., 2016

2015
The calculus of simplex gradients.
Optim. Lett., 2015

2014
Evolutionary Programming for High-Dimensional Constrained Expensive Black-Box Optimization Using Radial Basis Functions.
IEEE Trans. Evol. Comput., 2014

Particle swarm with radial basis function surrogates for expensive black-box optimization.
J. Comput. Sci., 2014

2013
A quasi-multistart framework for global optimization of expensive functions using response surface models.
J. Glob. Optim., 2013

2012
Surrogate-assisted evolutionary programming for high dimensional constrained black-box optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
Stochastic radial basis function algorithms for large-scale optimization involving expensive black-box objective and constraint functions.
Comput. Oper. Res., 2011

2010
Convergence guarantees for generalized adaptive stochastic search methods for continuous global optimization.
Eur. J. Oper. Res., 2010

2009
Parallel Stochastic Global Optimization Using Radial Basis Functions.
INFORMS J. Comput., 2009

2008
ORBIT: Optimization by Radial Basis Function Interpolation in Trust-Regions.
SIAM J. Sci. Comput., 2008

2007
Improved Strategies for Radial basis Function Methods for Global Optimization.
J. Glob. Optim., 2007

A Stochastic Radial Basis Function Method for the Global Optimization of Expensive Functions.
INFORMS J. Comput., 2007

Parallel radial basis function methods for the global optimization of expensive functions.
Eur. J. Oper. Res., 2007

2005
Constrained Global Optimization of Expensive Black Box Functions Using Radial Basis Functions.
J. Glob. Optim., 2005

2004
Local function approximation in evolutionary algorithms for the optimization of costly functions.
IEEE Trans. Evol. Comput., 2004

An improved approximation algorithm for the partial Latin square extension problem.
Oper. Res. Lett., 2004

2003
MAPO: using a committee of algorithm-experts for parallel optimization of costly functions.
Proceedings of the SPAA 2003: Proceedings of the Fifteenth Annual ACM Symposium on Parallelism in Algorithms and Architectures, 2003


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