An Easy-to-use Real-world Multi-objective Optimization Problem Suite

27 September 2020

Papers citing "An Easy-to-use Real-world Multi-objective Optimization Problem Suite"

50 / 63 papers shown

Title
Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings Rong-Xi Tan Ming Chen Ke Xue Yao Wang Yaoyuan Wang Sheng Fu Chao Qian OffRL 32 0 0 08 Jun 2025
A Framework for Controllable Multi-objective Learning with Annealed Stein Variational Hypernetworks Minh-Duc Nguyen Dung D. Le 31 0 0 07 Jun 2025
Learning Design-Score Manifold to Guide Diffusion Models for Offline Optimization Tailin Zhou Zhilin Chen Wenlong Lyu Zhitang Chen Danny H. K. Tsang Jun Zhang 50 0 0 06 Jun 2025
Enhanced Ideal Objective Vector Estimation for Evolutionary Multi-Objective Optimization Ruihao Zheng Zhenkun Wang Yin Wu Maoguo Gong 26 0 0 28 May 2025
Preference-Guided Diffusion for Multi-Objective Offline Optimization Yashas Annadani Syrine Belakaria Stefano Ermon Stefan Bauer Barbara Engelhardt 77 1 0 21 Mar 2025
Offline Model-Based Optimization: Comprehensive Review Minsu Kim Jiayao Gu Ye Yuan Taeyoung Yun Ziqiang Liu Yoshua Bengio Can Chen OffRL 123 4 0 21 Mar 2025
Speeding up Local Search for the Indicator-based Subset Selection Problem by a Candidate List Strategy Keisuke Korogi Ryoji Tanabe 93 1 0 06 Mar 2025
Large Language Model-Based Benchmarking Experiment Settings for Evolutionary Multi-Objective Optimization Lie Meng Pang H. Ishibuchi 80 0 0 28 Feb 2025
Multi-Objective Mobile Damped Wave Algorithm (MOMDWA): A Novel Approach For Quantum System Control Juntao Yu Jiaquan Yu Dedai Wei Xinye Sha Shengwei Fu Miuyu Qiu Yurun Jin Kaichen Ouyang 74 0 0 06 Feb 2025
Bayesian Optimization with Preference Exploration by Monotonic Neural Network Ensemble Hanyang Wang Juergen Branke Matthias Poloczek 235 0 0 30 Jan 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning Erlong Liu Yu-Chang Wu Xiaobin Huang Chengrui Gao Ren-Jian Wang Ke Xue Chao Qian OffRL 235 2 0 12 Jan 2025
Unexpected Improvements to Expected Improvement for Bayesian Optimization Sebastian Ament Sam Daulton David Eriksson Maximilian Balandat E. Bakshy 92 82 0 08 Jan 2025
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks Minh-Duc Nguyen Phuong Mai Dinh Quang-Huy Nguyen L. P. Hoang Dung D. Le 126 2 0 23 Dec 2024
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation Diantong Li Fengxue Zhang Chong Liu Yuxin Chen 455 0 0 06 Nov 2024
Offline Model-Based Optimization by Learning to Rank Rong-Xi Tan Ke Xue Shen-Huan Lyu Haopu Shang Yao Wang Yaoyuan Wang Sheng Fu Chao Qian OffRL 134 3 0 15 Oct 2024
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 103 271 0 04 Oct 2024
Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization Rongguang Ye Longcan Chen Wei-Bin Kou Jinyuan Zhang H. Ishibuchi 91 1 0 11 Aug 2024
PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation Yinghua Yao Yuangang Pan Jing Li Ivor Tsang Xin Yao 165 6 0 05 Jul 2024
Preferential Multi-Objective Bayesian Optimization Raul Astudillo Kejun Li Maegan Tucker Chu Xin Cheng Aaron D. Ames Yisong Yue 88 2 0 20 Jun 2024
Offline Multi-Objective Optimization Ke Xue Rong-Xi Tan Xiaobin Huang Chao Qian OffRL 111 7 0 06 Jun 2024
Scalarisation-based risk concepts for robust multi-objective optimisation Ben Tu N. Kantas Robert M. Lee B. Shafei 108 1 0 16 May 2024
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models Bingdong Li Zixiang Di Yongfan Lu Hong Qian Feng Wang Peng Yang Ke Tang Aimin Zhou DiffM 95 2 0 14 May 2024
Random Pareto front surfaces Ben Tu N. Kantas Robert M. Lee B. Shafei 92 2 0 02 May 2024
Evolutionary Preference Sampling for Pareto Set Learning Rongguang Ye Longcan Chen Jinyuan Zhang H. Ishibuchi 99 3 0 12 Apr 2024
Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems Chikai Shang Rongguang Ye Jiaqi Jiang Fangqing Gu 105 1 0 01 Apr 2024
Smooth Tchebycheff Scalarization for Multi-Objective Optimization Xi Lin Xiao-Yan Zhang Zhiyuan Yang Fei Liu Zhenkun Wang Qingfu Zhang 103 20 0 29 Feb 2024
UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition Xiao-Yan Zhang Xi Lin Yichi Zhang Yifan Chen Qingfu Zhang 64 1 0 14 Feb 2024
Explainable Benchmarking for Iterative Optimization Heuristics Niki van Stein Diederick Vermetten Anna V. Kononova Thomas Bäck 113 13 0 31 Jan 2024
Metaheuristics for (Variable-Size) Mixed Optimization Problems: A Unified Taxonomy and Survey Prof. El-Ghazali Talbi 40 4 0 08 Jan 2024
Shared active subspace for multivariate vector-valued functions Khadija Musayeva M. Binois 50 0 0 05 Jan 2024
Single and Multi-Objective Optimization Benchmark Problems Focusing on Human-Powered Aircraft Design Nobuo Namura 45 1 0 14 Dec 2023
Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization Quang-Huy Nguyen L. P. Hoang Hoang V. Viet Dung D. Le 43 0 0 26 Nov 2023
Dealing with Structure Constraints in Evolutionary Pareto Set Learning Xi Lin Xiao-Yan Zhang Zhiyuan Yang Qingfu Zhang 143 1 0 31 Oct 2023
qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson sampling Ashwin Renganathan 70 3 0 24 Oct 2023
Large Language Model for Multi-objective Evolutionary Optimization Fei Liu Xi Lin Zhenkun Wang Shunyu Yao Xialiang Tong Mingxuan Yuan Qingfu Zhang 78 40 0 19 Oct 2023
Constrained Bayesian Optimization with Adaptive Active Learning of Unknown Constraints Fengxue Zhang Zejie Zhu Yuxin Chen 59 2 0 12 Oct 2023
Multiobjective Evolutionary Component Effect on Algorithm behavior Yuri Lavinas Marcelo Ladeira Gabriela Ochoa Claus Aranha 38 3 0 31 Jul 2023
Investigating Normalization in Preference-based Evolutionary Multi-objective Optimization Using a Reference Point Ryoji Tanabe 61 1 0 13 Jul 2023
Achieving Diversity in Objective Space for Sample-efficient Search of Multiobjective Optimization Problems E. Lee Bolong Cheng M. McCourt 39 0 0 23 Jun 2023
Multi-objective optimisation via the R2 utilities Ben Tu N. Kantas Robert M. Lee B. Shafei 446 3 0 19 May 2023
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 92 62 0 16 Oct 2022
Joint Entropy Search for Multi-objective Bayesian Optimization Ben Tu Axel Gandy N. Kantas B. Shafei 97 39 0 06 Oct 2022
Multi-objective optimization via equivariant deep hypervolume approximation Jim Boelrijk B. Ensing Patrick Forré 66 3 0 05 Oct 2022
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization Hao Wang Kaifeng Yang M. Affenzeller 67 3 0 11 May 2022
$$\{\text{PF}\}^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization$ $\{\text{PF}\}^2$ ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Jixiang Qing Henry B. Moss T. Dhaene Ivo Couckuyt 66 3 0 11 Apr 2022
MBORE: Multi-objective Bayesian Optimisation by Density-Ratio Estimation George De Ath Tinkle Chugh Alma A. M. Rahat 75 4 0 31 Mar 2022
A Two-phase Framework with a Bézier Simplex-based Interpolation Method for Computationally Expensive Multi-objective Optimization Ryoji Tanabe Youhei Akimoto Ken Kobayashi H. Umeki Shinichi Shirakawa Naoki Hamada 43 0 0 29 Mar 2022
Component-wise Analysis of Automatically Designed Multiobjective Algorithms on Constrained Problems Yuri Lavinas Marcelo Ladeira Gabriela Ochoa Claus Aranha 39 3 0 25 Mar 2022
Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes Zhiyuan Jerry Lin Raul Astudillo P. Frazier E. Bakshy 89 38 0 21 Mar 2022
Robust Multi-Objective Bayesian Optimization Under Input Noise Sam Daulton Sait Cakmak Maximilian Balandat Michael A. Osborne Enlu Zhou E. Bakshy AAML 119 38 0 15 Feb 2022