{"total":20,"rows":[{"id":"2205.13881","title":"Automated Dynamic Algorithm Configuration","created":"2022-05-27","cited_by_count":39,"area":null},{"id":"2210.06835","title":"Multi-agent Dynamic Algorithm Configuration","created":"2022-10-13","cited_by_count":36,"area":null},{"id":"2310.08252","title":"MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning","created":"2023-10-12","cited_by_count":36,"area":null},{"id":"2411.00625","title":"Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization","created":"2024-11-01","cited_by_count":24,"area":null},{"id":"2402.02355","title":"Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning","created":"2024-02-04","cited_by_count":22,"area":null},{"id":"2303.06532","title":"Automated Design of Metaheuristic Algorithms: A Survey","created":"2023-03-12","cited_by_count":12,"area":null},{"id":"2202.03259","title":"Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration","created":"2022-02-07","cited_by_count":11,"area":null},{"id":"2509.08269","title":"A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving","created":"2025-09-10","cited_by_count":11,"area":null},{"id":"2408.10672","title":"Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization","created":"2024-08-20","cited_by_count":10,"area":null},{"id":"2505.17745","title":"MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimization","created":"2025-05-23","cited_by_count":9,"area":null},{"id":"2206.12233","title":"Reinforcement learning based adaptive metaheuristics","created":"2022-06-24","cited_by_count":7,"area":null},{"id":"2509.15810","title":"Instance Generation for Meta-Black-Box Optimization through Latent Space Reverse Engineering","created":"2025-09-19","cited_by_count":6,"area":null},{"id":"2302.12334","title":"Using Automated Algorithm Configuration for Parameter Control","created":"2023-02-23","cited_by_count":5,"area":null},{"id":"2505.17866","title":"DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization","created":"2025-05-23","cited_by_count":5,"area":null},{"id":"2505.13025","title":"LiBOG: Lifelong Learning for Black-Box Optimizer Generation","created":"2025-05-19","cited_by_count":3,"area":null},{"id":"2606.00862","title":"Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA","created":"2026-05-30","cited_by_count":1,"area":null},{"id":"2211.09719","title":"Learning Adaptive Evolutionary Computation for Solving Multi-Objective Optimization Problems","created":"2022-11-01","cited_by_count":0,"area":null},{"id":"2305.02805","title":"Local Optima Correlation Assisted Adaptive Operator Selection","created":"2023-05-03","cited_by_count":0,"area":null},{"id":"2306.06686","title":"UAV Trajectory and Multi-User Beamforming Optimization for Clustered Users Against Passive Eavesdropping Attacks With Unknown CSI","created":"2023-06-11","cited_by_count":0,"area":null},{"id":"2601.21847","title":"READY: Reward Discovery for Meta-Black-Box Optimization","created":"2026-01-29","cited_by_count":0,"area":null}],"next_cursor":null}