Saved in:
| Main Authors: | Chen, Jiaxin, Ding, Jinliang, Tan, Kay Chen, Qian, Jiancheng, Li, Ke |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.06491 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning
by: Zhang, Huan, et al.
Published: (2023)
by: Zhang, Huan, et al.
Published: (2023)
Learning to Evolve for Optimization via Stability-Inducing Neural Unrolling
by: Gao, Jiaxin, et al.
Published: (2025)
by: Gao, Jiaxin, et al.
Published: (2025)
Pareto Set Prediction Assisted Bilevel Multi-objective Optimization
by: Wang, Bing, et al.
Published: (2024)
by: Wang, Bing, et al.
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)
Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking
by: Feng, Yinglan, et al.
Published: (2024)
by: Feng, Yinglan, et al.
Published: (2024)
Spatio-Temporal Decoupled Learning for Spiking Neural Networks
by: Ma, Chenxiang, et al.
Published: (2025)
by: Ma, Chenxiang, et al.
Published: (2025)
EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning
by: Zheng, Bowen, et al.
Published: (2025)
by: Zheng, Bowen, et al.
Published: (2025)
PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing
by: Chen, Xinyi, et al.
Published: (2024)
by: Chen, Xinyi, et al.
Published: (2024)
Enhancing Generalization and Scalability for Multi-Objective Optimization with Population Pre-Training
by: Hong, Haokai, et al.
Published: (2023)
by: Hong, Haokai, et al.
Published: (2023)
Efficient Online Learning for Networks of Two-Compartment Spiking Neurons
by: Yin, Yujia, et al.
Published: (2024)
by: Yin, Yujia, et al.
Published: (2024)
A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation
by: Luo, Liu-Yue, et al.
Published: (2025)
by: Luo, Liu-Yue, et al.
Published: (2025)
Evolutionary Generative Optimization: Towards Fully Data-Driven Evolutionary Optimization via Generative Learning
by: Jiang, Tao, et al.
Published: (2025)
by: Jiang, Tao, et al.
Published: (2025)
Efficient Evaluation Methods for Neural Architecture Search: A Survey
by: Song, Xiaotian, et al.
Published: (2023)
by: Song, Xiaotian, et al.
Published: (2023)
Learning Where, What and How to Transfer: A Multi-Role Reinforcement Learning Approach for Evolutionary Multitasking
by: Zhan, Jiajun, et al.
Published: (2025)
by: Zhan, Jiajun, et al.
Published: (2025)
Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization
by: Wang, Zeyi, et al.
Published: (2024)
by: Wang, Zeyi, et al.
Published: (2024)
Autonomous Multi-Objective Optimization Using Large Language Model
by: Huang, Yuxiao, et al.
Published: (2024)
by: Huang, Yuxiao, et al.
Published: (2024)
Migrant Resettlement by Evolutionary Multi-objective Optimization
by: Liu, Dan-Xuan, et al.
Published: (2023)
by: Liu, Dan-Xuan, et al.
Published: (2023)
Multi-Task Surrogate-Assisted Search with Bayesian Competitive Knowledge Transfer for Expensive Optimization
by: Lu, Yi, et al.
Published: (2025)
by: Lu, Yi, et al.
Published: (2025)
Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing
by: Chen, Xinyi, et al.
Published: (2025)
by: Chen, Xinyi, et al.
Published: (2025)
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks
by: Chen, Xinyi, et al.
Published: (2023)
by: Chen, Xinyi, et al.
Published: (2023)
Learning to Transfer for Evolutionary Multitasking
by: Wu, Sheng-Hao, et al.
Published: (2024)
by: Wu, Sheng-Hao, et al.
Published: (2024)
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
by: Ma, Zeyuan, et al.
Published: (2024)
by: Ma, Zeyuan, et al.
Published: (2024)
PredNext: Explicit Cross-View Temporal Prediction for Unsupervised Learning in Spiking Neural Networks
by: Dong, Yiting, et al.
Published: (2025)
by: Dong, Yiting, et al.
Published: (2025)
Deep Reinforcement Learning-Assisted Automated Operator Portfolio for Constrained Multi-objective Optimization
by: Shao, Shuai, et al.
Published: (2026)
by: Shao, Shuai, et al.
Published: (2026)
Scaling Behaviors of Evolutionary Algorithms on GPUs: When Does Parallelism Pay Off?
by: Yu, Xinmeng, et al.
Published: (2026)
by: Yu, Xinmeng, et al.
Published: (2026)
EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary Computation
by: Huang, Beichen, et al.
Published: (2023)
by: Huang, Beichen, et al.
Published: (2023)
Evolutionary Alternating Direction Method of Multipliers for Constrained Multi-Objective Optimization with Unknown Constraints
by: Li, Shuang, et al.
Published: (2024)
by: Li, Shuang, 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)
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling
by: Zhang, Shimin, et al.
Published: (2023)
by: Zhang, Shimin, et al.
Published: (2023)
A Theoretical Analysis of Analogy-Based Evolutionary Transfer Optimization
by: Xue, Xiaoming, et al.
Published: (2025)
by: Xue, Xiaoming, et al.
Published: (2025)
Surrogate-Assisted Search with Competitive Knowledge Transfer for Expensive Optimization
by: Xue, Xiaoming, et al.
Published: (2024)
by: Xue, Xiaoming, et al.
Published: (2024)
Multi-start Optimization Method via Scalarization based on Target Point-based Tchebycheff Distance for Multi-objective Optimization
by: Nagakane, Kota, et al.
Published: (2025)
by: Nagakane, Kota, et al.
Published: (2025)
Multi-Fidelity Methods for Optimization: A Survey
by: Li, Ke, et al.
Published: (2024)
by: Li, Ke, et al.
Published: (2024)
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)
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)
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)
Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models
by: Huang, Beichen, et al.
Published: (2024)
by: Huang, Beichen, et al.
Published: (2024)
Offline Multi-Objective Optimization
by: Xue, Ke, et al.
Published: (2024)
by: Xue, Ke, et al.
Published: (2024)
Efficient Training of Spiking Neural Networks by Spike-aware Data Pruning
by: Ma, Chenxiang, et al.
Published: (2025)
by: Ma, Chenxiang, et al.
Published: (2025)
Multi-Objective Evolutionary Optimization of Chance-Constrained Multiple-Choice Knapsack Problems with Implicit Probability Distributions
by: Li, Xuanfeng, et al.
Published: (2026)
by: Li, Xuanfeng, et al.
Published: (2026)
Similar Items
-
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning
by: Zhang, Huan, et al.
Published: (2023) -
Learning to Evolve for Optimization via Stability-Inducing Neural Unrolling
by: Gao, Jiaxin, et al.
Published: (2025) -
Pareto Set Prediction Assisted Bilevel Multi-objective Optimization
by: Wang, Bing, et al.
Published: (2024) -
Towards Automated Knowledge Transfer in Evolutionary Multitasking via Large Language Models
by: Lyu, Xuebin, et al.
Published: (2024) -
Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking
by: Feng, Yinglan, et al.
Published: (2024)