Offline Model-Based Optimization by Learning to Rank
Fuente:
arXiv
Saved in:
| Main Authors: | Tan, Rong-Xi, Xue, Ke, Lyu, Shen-Huan, Shang, Haopu, Wang, Yao, Wang, Yaoyuan, Fu, Sheng, Qian, Chao |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings
by: Tan, Rong-Xi, et al.
Published: (2025)
by: Tan, Rong-Xi, et al.
Published: (2025)
Offline Multi-Objective Optimization
by: Xue, Ke, et al.
Published: (2024)
by: Xue, Ke, et al.
Published: (2024)
Sequential Multi-Agent Dynamic Algorithm Configuration
by: Lu, Chen, et al.
Published: (2025)
by: Lu, Chen, et al.
Published: (2025)
Quality-Diversity Algorithms Can Provably Be Helpful for Optimization
by: Qian, Chao, et al.
Published: (2024)
by: Qian, Chao, et al.
Published: (2024)
Uncertainty-Aware Offline Data-Driven Multi-Objective Optimization
by: Lyu, Huanbo, et al.
Published: (2025)
by: Lyu, Huanbo, et al.
Published: (2025)
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning
by: Zhang, Huan, et al.
Published: (2023)
by: Zhang, Huan, et al.
Published: (2023)
Ranking Constraints via Topological Dual-Directional Search in Evolutionary Multi-Objective Optimization
by: Sun, Ruiqing, et al.
Published: (2026)
by: Sun, Ruiqing, et al.
Published: (2026)
Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization
by: Liu, Shengcai, et al.
Published: (2024)
by: Liu, Shengcai, et al.
Published: (2024)
Rank-Based Learning and Local Model Based Evolutionary Algorithm for High-Dimensional Expensive Multi-Objective Problems
by: Chen, Guodong, et al.
Published: (2023)
by: Chen, Guodong, et al.
Published: (2023)
Migrant Resettlement by Evolutionary Multi-objective Optimization
by: Liu, Dan-Xuan, et al.
Published: (2023)
by: Liu, Dan-Xuan, et al.
Published: (2023)
BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement
by: Xue, Ke, et al.
Published: (2025)
by: Xue, Ke, et al.
Published: (2025)
Quality-Diversity with Limited Resources
by: Wang, Ren-Jian, et al.
Published: (2024)
by: Wang, Ren-Jian, et al.
Published: (2024)
Human-in-the-Loop Policy Optimization for Preference-Based Multi-Objective Reinforcement Learning
by: Li, Ke, et al.
Published: (2024)
by: Li, Ke, et al.
Published: (2024)
An Efficient Evolutionary Algorithm for Few-for-Many Optimization
by: Shang, Ke, et al.
Published: (2026)
by: Shang, Ke, et al.
Published: (2026)
A Scalable Benchmark Test Suite for Dynamic Multi-Objective Optimization with a Changing Number of Objectives
by: Shang, Ke, et al.
Published: (2026)
by: Shang, Ke, et al.
Published: (2026)
When Large Language Model Meets Optimization
by: Huang, Sen, et al.
Published: (2024)
by: Huang, Sen, et al.
Published: (2024)
Escaping Local Optima in Global Placement
by: Xue, Ke, et al.
Published: (2024)
by: Xue, Ke, et al.
Published: (2024)
A Detection Region Method-Based Evolutionary Algorithm for Binary Constrained Multiobjective Optimization
by: Huang, Weixiong, et al.
Published: (2024)
by: Huang, Weixiong, et al.
Published: (2024)
Surrogate-Assisted Search with Competitive Knowledge Transfer for Expensive Optimization
by: Xue, Xiaoming, et al.
Published: (2024)
by: Xue, Xiaoming, et al.
Published: (2024)
A Theoretical Analysis of Analogy-Based Evolutionary Transfer Optimization
by: Xue, Xiaoming, et al.
Published: (2025)
by: Xue, Xiaoming, et al.
Published: (2025)
Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization
by: Ren, Shengjie, et al.
Published: (2024)
by: Ren, Shengjie, et al.
Published: (2024)
MBL-CPDP: A Multi-objective Bilevel Method for Cross-Project Defect Prediction via Automated Machine Learning
by: Chen, Jiaxin, et al.
Published: (2024)
by: Chen, Jiaxin, et al.
Published: (2024)
A Survey of Decomposition-Based Evolutionary Multi-Objective Optimization: Part I-Past and Future
by: Li, Ke
Published: (2024)
by: Li, Ke
Published: (2024)
Towards Automated Knowledge Transfer in Evolutionary Multitasking via Large Language Models
by: Lyu, Xuebin, et al.
Published: (2024)
by: Lyu, Xuebin, et al.
Published: (2024)
Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization
by: Wang, Zeyi, et al.
Published: (2024)
by: Wang, Zeyi, et al.
Published: (2024)
Diversity from Human Feedback
by: Wang, Ren-Jian, et al.
Published: (2023)
by: Wang, Ren-Jian, et al.
Published: (2023)
Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization
by: Ren, Shengjie, et al.
Published: (2025)
by: Ren, Shengjie, et al.
Published: (2025)
Accelerating Black-Box Bilevel Optimization with Rank-Based Upper-Level Value Function Approximation
by: Ong, Marc, et al.
Published: (2026)
by: Ong, Marc, et al.
Published: (2026)
Pareto Optimization with Robust Evaluation for Noisy Subset Selection
by: Xu, Yiheng, et al.
Published: (2025)
by: Xu, Yiheng, et al.
Published: (2025)
A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization
by: Ren, Shengjie, et al.
Published: (2025)
by: Ren, Shengjie, et al.
Published: (2025)
A Universal Framework for Large-Scale Multi-Objective Optimization Based on Particle Drift and Diffusion
by: Li, Jia-Cheng, et al.
Published: (2025)
by: Li, Jia-Cheng, et al.
Published: (2025)
Offline Multi-Task Multi-Objective Data-Driven Evolutionary Algorithm with Language Surrogate Model and Implicit Q-Learning
by: Zhang, Xian-Rong, et al.
Published: (2025)
by: Zhang, Xian-Rong, et al.
Published: (2025)
Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
by: Cheng, Ji, et al.
Published: (2025)
by: Cheng, Ji, et al.
Published: (2025)
Large Language Models as Evolutionary Optimizers
by: Liu, Shengcai, et al.
Published: (2023)
by: Liu, Shengcai, et al.
Published: (2023)
General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization
by: Wang, Zhiyuan, et al.
Published: (2026)
by: Wang, Zhiyuan, et al.
Published: (2026)
Meta-Black-Box-Optimization through Offline Q-function Learning
by: Ma, Zeyuan, et al.
Published: (2025)
by: Ma, Zeyuan, et al.
Published: (2025)
Evolving Generalizable Parallel Algorithm Portfolios for Binary Optimization Problems via Domain-Agnostic Instance Generation
by: Wang, Zhiyuan, et al.
Published: (2025)
by: Wang, Zhiyuan, et al.
Published: (2025)
CDEoH: Category-Driven Automatic Algorithm Design With Large Language Models
by: Wang, Yu-Nian, et al.
Published: (2026)
by: Wang, Yu-Nian, et al.
Published: (2026)
A Novel Population Initialization Method via Adaptive Experience Transfer for General-Purpose Binary Evolutionary Optimization
by: Wang, Zhiyuan, et al.
Published: (2025)
by: Wang, Zhiyuan, et al.
Published: (2025)
Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework
by: Pei, Jiyuan, et al.
Published: (2024)
by: Pei, Jiyuan, et al.
Published: (2024)
Similar Items
-
Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings
by: Tan, Rong-Xi, et al.
Published: (2025) -
Offline Multi-Objective Optimization
by: Xue, Ke, et al.
Published: (2024) -
Sequential Multi-Agent Dynamic Algorithm Configuration
by: Lu, Chen, et al.
Published: (2025) -
Quality-Diversity Algorithms Can Provably Be Helpful for Optimization
by: Qian, Chao, et al.
Published: (2024) -
Uncertainty-Aware Offline Data-Driven Multi-Objective Optimization
by: Lyu, Huanbo, et al.
Published: (2025)