[HTML][HTML] Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection
T Akhtar, CA Shoemaker - Journal of Global Optimization, 2016 - Springer
GOMORS is a parallel response surface-assisted evolutionary algorithm approach to multi-
objective optimization that is designed to obtain good non-dominated solutions to black box …
objective optimization that is designed to obtain good non-dominated solutions to black box …
Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection
T Akhtar, C Shoemaker - Journal of Global Optimization, 2016 - econpapers.repec.org
GOMORS is a parallel response surface-assisted evolutionary algorithm approach to multi-
objective optimization that is designed to obtain good non-dominated solutions to black box …
objective optimization that is designed to obtain good non-dominated solutions to black box …
Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection
T Akhtar, CA Shoemaker - Journal of Global Optimization, 2016 - dl.acm.org
GOMORS is a parallel response surface-assisted evolutionary algorithm approach to multi-
objective optimization that is designed to obtain good non-dominated solutions to black box …
objective optimization that is designed to obtain good non-dominated solutions to black box …
Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection
T Akhtar, CA Shoemaker - 2016 - scholarbank.nus.edu.sg
GOMORS is a parallel response surface-assisted evolutionary algorithm approach to multi-
objective optimization that is designed to obtain good non-dominated solutions to black box …
objective optimization that is designed to obtain good non-dominated solutions to black box …
[PDF][PDF] Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection
T Akhtar, CA Shoemaker - 2015 - researchgate.net
GOMORS is a parallel response surface-assisted evolutionary algorithm approach to multi-
objective optimization that is designed to obtain good non-dominated solutions to black box …
objective optimization that is designed to obtain good non-dominated solutions to black box …
Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection.
T Akhtar, C Shoemaker - Journal of Global Optimization, 2016 - search.ebscohost.com
GOMORS is a parallel response surface-assisted evolutionary algorithm approach to multi-
objective optimization that is designed to obtain good non-dominated solutions to black box …
objective optimization that is designed to obtain good non-dominated solutions to black box …
Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection
T Akhtar, CA Shoemaker - Journal of Global Optimization, 2016 - infona.pl
GOMORS is a parallel response surface-assisted evolutionary algorithm approach to multi-
objective optimization that is designed to obtain good non-dominated solutions to black box …
objective optimization that is designed to obtain good non-dominated solutions to black box …
Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection
T Akhtar, C Shoemaker - Journal of Global Optimization, 2016 - ideas.repec.org
GOMORS is a parallel response surface-assisted evolutionary algorithm approach to multi-
objective optimization that is designed to obtain good non-dominated solutions to black box …
objective optimization that is designed to obtain good non-dominated solutions to black box …
[PDF][PDF] Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection
T Akhtar, CA Shoemaker - 2015 - cyberleninka.org
GOMORS is a parallel response surface-assisted evolutionary algorithm approach to multi-
objective optimization that is designed to obtain good non-dominated solutions to black box …
objective optimization that is designed to obtain good non-dominated solutions to black box …
Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection
T Akhtar, CA Shoemaker - Journal of Global Optimization, 2016 - search.proquest.com
GOMORS is a parallel response surface-assisted evolutionary algorithm approach to multi-
objective optimization that is designed to obtain good non-dominated solutions to black box …
objective optimization that is designed to obtain good non-dominated solutions to black box …