OPT-GAN: A Broad-Spectrum Global Optimizer for Black-box Problems by Learning Distribution

7 February 2021

Papers citing "OPT-GAN: A Broad-Spectrum Global Optimizer for Black-box Problems by Learning Distribution"

4 / 4 papers shown

Title
A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems E. Osaba Esther Villar-Rodriguez Javier Del Ser Antonio J. Nebro Daniel Molina A. Latorre Ponnuthurai Nagaratnam Suganthan Carlos A. Coello Coello Francisco Herrera 51 256 0 04 Oct 2024
BORE: Bayesian Optimization by Density-Ratio Estimation Louis C. Tiao Aaron Klein Matthias Seeger Edwin V. Bonilla Cédric Archambeau F. Ramos 32 26 0 17 Feb 2021
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions Todd P. Huster Jérémy E. Cohen Zinan Lin Kevin S. Chan Charles A. Kamhoua Nandi O. Leslie C. Chiang Vyas Sekar GAN 38 26 0 22 Jan 2021
Design by adaptive sampling David H. Brookes Jennifer Listgarten TPM 39 65 0 08 Oct 2018