Evolutionary Multiobjective Optimization Driven by Generative
Adversarial Networks (GANs)

Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs)

11 October 2019

Ran Cheng

Kay Chen Tan

Papers citing "Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs)"

18 / 18 papers shown

Title
Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling Wenxuan Fang Wei Du Renchu He Yang Tang Yaochu Jin Gary G. Yen DiffM 54 6 0 04 Feb 2024
Rank-Based Learning and Local Model Based Evolutionary Algorithm for High-Dimensional Expensive Multi-Objective Problems Guodong Chen J. Jiao Xiaoming Xue Zhongzheng Wang 28 0 0 19 Apr 2023
Improving Performance Insensitivity of Large-scale Multiobjective Optimization via Monte Carlo Tree Search Haokai Hong Min Jiang Gary G. Yen 15 5 0 08 Apr 2023
Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach Haokai Hong Min Jiang Qiuzhen Lin Kay Chen Tan 43 0 0 08 Apr 2023
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search Chao Wang Licheng Jiao Jiaxuan Zhao Lingling Li Xu Liu F. Liu Shuyuan Yang 42 5 0 06 Feb 2023
Predictive GAN-powered Multi-Objective Optimization for Hybrid Federated Split Learning Benshun Yin Zhiyong Chen M. Tao FedML 77 23 0 02 Sep 2022
A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization Songbai Liu Qiuzhen Lin Jianqiang Li Kay Chen Tan 51 52 0 23 Jun 2022
Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism Haokai Hong Min Jiang Liang Feng Qiuzhen Lin Kay Chen Tan 22 9 0 20 May 2022
EvoGAN: An Evolutionary Computation Assisted GAN Feng Liu Hanyang Wang Jiahao Zhang Ziwang Fu Aimin Zhou Jiayin Qi Zhibin Li GAN 32 24 0 22 Oct 2021
Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model Haokai Hong Kai Ye Min Jiang Donglin Cao Kay Chen Tan 16 4 0 16 Jul 2021
Augmenting High-dimensional Nonlinear Optimization with Conditional GANs P. R. Kalehbasti M. Lepech Samarpreet Singh Pandher GAN 19 3 0 20 Feb 2021
OPT-GAN: A Broad-Spectrum Global Optimizer for Black-box Problems by Learning Distribution Minfang Lu Shuai Ning Shuangrong Liu Fengyang Sun Bo Zhang Bo Yang Linshan Wang 36 4 0 07 Feb 2021
Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks Zhenzhong Wang Haokai Hong Kai Ye Min Jiang Kay Chen Tan AI4CE 54 31 0 08 Jan 2021
Analysis of Trade-offs in Fair Principal Component Analysis Based on Multi-objective Optimization G. D. Pelegrina Renan D. B. Brotto L. Duarte R. Attux João Marcos Travassos Romano 13 3 0 11 Jun 2020
Graph Neural Network Encoding for Community Detection in Attribute Networks Jianyong Sun Wei Zheng Qingfu Zhang Zongben Xu 23 77 0 06 Jun 2020
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins? Jeremy Georges-Filteau Elisa Cirillo SyDa AI4CE 41 17 0 27 May 2020
Large Scale Many-Objective Optimization Driven by Distributional Adversarial Networks Zhenyu Liang Yunfan Li Zhongwei Wan 13 11 0 16 Mar 2020
WiSM: Windowing Surrogate Model for Evaluation of Curvature-Constrained Tours with Dubins vehicle Jan Drchal J. Faigl Petr Váňa 16 12 0 03 Feb 2020