Ong, Yew-Soon - School of Computer Engineering, Nanyang Technological University

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Ong, Yew-Soon - School of Computer Engineering, Nanyang Technological University

A Study on Metamodeling Techniques, Ensembles, and Multi-Surrogates in Surrogate-Assisted Memetic
SURROGATEASSISTED COEVOLUTIONARY SEARCH YewSoon Ong, Andy J. Keane and Prasanth B. Nair
THIS PAPER HAS BEEN ACCEPTED FOR PUBLICATION IN IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION 1 Generalizing Surrogate-assisted Evolutionary
Yew-Soon Ong, Ph.D. Curriculum Vitae
Feature Selection Using Single/Multi-Objective Memetic Frameworks
Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the
Surrogate-Assisted Evolutionary Optimization Frameworks for High-Fidelity Engineering
Feasibility Structure Modeling: An Effective Chaperone for Constrained Memetic Algorithms
Memetic Comp. (2009) 1:85100 DOI 10.1007/s12293-009-0011-1
Hybrid Evolutionary Algorithm with Hermite Radial Basis Function Interpolants for Computationally Expensive
Abstract--In both numerical and stochastic optimization methods, surrogate models are often employed in lieu of
Inverse Multi-Objective Robust Evolutionary Design Optimization in the Presence of Uncertainty
Markov Blanket-Embedded Genetic Algorithm for Gene Selection
A Domain Knowledge Based Search Advisor for Design Problem Solving Environments
Paper Submitted to IEEE TEC 1 Max-Min Surrogate-Assisted Evolutionary Algorithm for
IEEE Transactions on Evolutionary Computation Special Issue on Advances in Memetic Computation
Curse and Blessing of Uncertainty in Evolutionary Algorithm Using Approximation
Hybrid Ant Colony Algorithms for Path Planning in Sparse Kwee Kim Lim a
A Study on Polynomial Regression and Gaussian Process Global Surrogate Model in Hierarchical Surrogate-Assisted Evolutionary Algorithm
myjournal manuscript No. (will be inserted by the editor)
Playing in the Objective Space: Coupled Approximators for Multi-Objective Optimization
Hierarchical Surrogate-Assisted Evolutionary Optimization Framework
IEEE TRANSACTIONS ON SYSTEMS, MAN AND CYBERNETICS 1 Combining Global and Local Surrogate Models