Rommel G. Regis, Ph.D.
Affiliations: | 2004 | Cornell University, Ithaca, NY, United States |
Area:
Operations Research, Computer ScienceGoogle:
"Rommel Regis"Parents
Sign in to add mentor| Christine A. Shoemaker | grad student | 2004 | Cornell | |
| (Global optimization of computationally expensive functions using serial and parallel radial basis function algorithms.) | ||||
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Publications
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| Christelis V, Regis RG, Mantoglou A. (2018) Surrogate-based pumping optimization of coastal aquifers under limited computational budgets Journal of Hydroinformatics. 20: 164-176 |
| Bouhlel MA, Bartoli N, Regis RG, et al. (2018) Efficient global optimization for high-dimensional constrained problems by using the Kriging models combined with the partial least squares method Engineering Optimization. 50: 2038-2053 |
| Nuñez L, Regis RG, Varela K. (2018) Accelerated Random Search for constrained global optimization assisted by Radial Basis Function surrogates Journal of Computational and Applied Mathematics. 340: 276-295 |
| Regis RG, Wild SM. (2016) CONORBIT: constrained optimization by radial basis function interpolation in trust regions Optimization Methods and Software. 32: 552-580 |
| Regis RG. (2016) Trust regions in Kriging-based optimization with expected improvement Engineering Optimization. 48: 1037-1059 |
| Regis RG. (2016) Multi-objective constrained black-box optimization using radial basis function surrogates Journal of Computational Science. 16: 140-155 |
| Datta R, Regis RG. (2016) A surrogate-assisted evolution strategy for constrained multi-objective optimization Expert Systems With Applications. 57: 270-284 |
| Regis RG. (2016) On the properties of positive spanning sets and positive bases Optimization and Engineering. 17: 229-262 |
| Regis RG. (2016) On the Convergence of Adaptive Stochastic Search Methods for Constrained and Multi-objective Black-Box Optimization Journal of Optimization Theory and Applications. 1-28 |
| Regis RG. (2014) Evolutionary programming for high-dimensional constrained expensive black-box optimization using radial basis functions Ieee Transactions On Evolutionary Computation. 18: 326-347 |