On the hardness of parameter optimization of convolution neural networks using genetic algorithm and machine learning. - Hyeon-Chang Lee; Dong-Pil Yu; Yong-Hyuk Kim (GECCO (Companion), 2018)

Is it worth to approximate fitness by machine learning?: investigation on the extensibility according to problem size. - Dong-Pil Yu; Yong-Hyuk Kim (GECCO (Companion), 2018)

Predictability on performance of surrogate-assisted evolutionary algorithm according to problem dimension. - Dong-Pil Yu; Yong-Hyuk Kim (GECCO (Companion), 2019)

On the co-authorship network in evolutionary computation. - Dong-Pil Yu; Yong-Hyuk Kim (GECCO Companion, 2020)

On the Effect of Walsh/Fourier transform in surrogate-assisted genetic algorithms. - Dong-Pil Yu; Yong-Hyuk Kim (GECCO Companion, 2020)