diff --git a/README.md b/README.md index 4f24289..c5a9ffc 100644 --- a/README.md +++ b/README.md @@ -141,6 +141,7 @@ This respository aims to maintain a list of useful relevant papers and open sour |Algorithm|Paper|Original Repository|About| |:-:|:-:|:-:|:-:| +|UES-CMA-ES|Bolufé-Röhler, Antonio, and Bowen Xu. "[**Deep reinforcement learning for smart restarts in exploration-only exploitation-only metaheuristic hybrids**](https://link.springer.com/chapter/10.1007/978-3-031-62922-8_2)." Metaheuristics International Conference. Cham: Springer Nature Switzerland, 2024.|-|[PDF](MetaBBO/MetaBBO-RL/Others/UES-CMA-ES/Deep%20reinforcement%20learning%20for%20smart%20restarts%20in%20exploration-only%20exploitation-only%20metaheuristic%20hybrids.pdf) [BibTex](MetaBBO/MetaBBO-RL/Others/UES-CMA-ES/BibTex)| |AGSEA|Shao, Shuai, Ye Tian, and Xingyi Zhang. "[**Deep reinforcement learning assisted automated guiding vector selection for large-scale sparse multi-objective optimization**](https://www.sciencedirect.com/science/article/pii/S2210650224001445)." Swarm and Evolutionary Computation 88 (2024): 101606.|-|[PDF](MetaBBO/MetaBBO-RL/Others/AGSEA/Deep%20Reinforcement%20Learning%20Assisted%20Automated%20Guiding%20Vector%20Selection%20for%20Large-scale%20Sparse%20Multi-objective%20Optimization.pdf) [BibTex](MetaBBO/MetaBBO-RL/Others/AGSEA/BibTex)| |MSORL|Wang, Xujie, et al. "[**A multi-swarm optimizer with a reinforcement learning mechanism for large-scale optimization**](https://www.sciencedirect.com/science/article/pii/S2210650224000191)." Swarm and Evolutionary Computation (2024): 101486.|-|[PDF](MetaBBO/MetaBBO-RL/Others/MSORL/A%20multi-swarm%20optimizer%20with%20a%20reinforcement%20learning%20mechanism%20for%20large-scale%20optimization.pdf) [BibTex](MetaBBO/MetaBBO-RL/Others/MSORL/BibTex)| |MELBA|Chaybouti, Sofian, et al. "[**Meta-learning of Black-box Solvers Using Deep Reinforcement Learning**](https://hal.science/hal-03930140/)." NeurIPS 2022, MetaLearn Workshop. 2022.|-|[PDF](MetaBBO/MetaBBO-RL/Others/MELBA/Meta-learning%20of%20Black-box%20Solvers%20Using%20Deep%20Reinforcement%20Learning.pdf) [BibTex](MetaBBO/MetaBBO-RL/Others/MELBA/BibTex)| @@ -189,6 +190,7 @@ This respository aims to maintain a list of useful relevant papers and open sour |EvoLLM|Lange, Robert Tjarko, Yingtao Tian, and Yujin Tang. "[**Large Language Models As Evolution Strategies**](https://arxiv.org/abs/2402.18381)." arXiv preprint arXiv:2402.18381 (2024).|-|[PDF](MetaBBO/MetaBBO-LLMs/EvoLLM/Large%20Language%20Models%20As%20Evolution%20Strategies.pdf) [BibTex](MetaBBO/MetaBBO-LLMs/EvoLLM/BibTex)| |CMOEA-LLM|Wang, Zeyi, et al. "[**Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization**](https://arxiv.org/abs/2405.05767)." arXiv preprint arXiv:2405.05767 (2024).|-|[PDF](MetaBBO/MetaBBO-LLMs/CMOEA-LLM/Large%20Language%20Model-Aided%20Evolutionary%20Search%20for%20Constrained%20Multiobjective%20Optimization.pdf) [BibTex](MetaBBO/MetaBBO-LLMs/CMOEA-LLM/BibTex)| |LEO|Brahmachary, Shuvayan, et al. "[**Large Language Model-Based Evolutionary Optimizer: Reasoning with elitism**](https://arxiv.org/abs/2403.02054)." arXiv preprint arXiv:2403.02054 (2024).|-|[PDF](MetaBBO/MetaBBO-LLMs/LEO/Large%20Language%20Model-Based%20Evolutionary%20Optimizer%20Reasoning%20with%20elitism.pdf) [BibTex](MetaBBO/MetaBBO-LLMs/LEO/BibTex)| +|EvoPrompt|Guo, Qingyan, et al. "[**Connecting large language models with evolutionary algorithms yields powerful prompt optimizers**](https://openreview.net/forum?id=ZG3RaNIsO8)." The Twelfth International Conference on Learning Representations (2024).|[beeevita/EvoPrompt](https://github.com/beeevita/EvoPrompt)|[PDF](MetaBBO/MetaBBO-LLMs/EvoPrompt/Connecting%20large%20language%20models%20with%20evolutionary%20algorithms%20yields%20powerful%20prompt%20optimizers.pdf) [BibTex](MetaBBO/MetaBBO-LLMs/EvoPrompt/BibTex)| |Evoprompting|Chen, Angelica, David Dohan, and David So. "[**Evoprompting: Language models for code-level neural architecture search**](https://proceedings.neurips.cc/paper_files/paper/2023/hash/184c1e18d00d7752805324da48ad25be-Abstract-Conference.html)." Advances in Neural Information Processing Systems 36 (2024).|-|[PDF](MetaBBO/MetaBBO-LLMs/Evoprompting/EvoPrompting%20Language%20Models%20for%20Code-Level%20Neural%20Architecture%20Search.pdf) [BibTex](MetaBBO/MetaBBO-LLMs/Evoprompting/BibTex)| |Pluhacek, Michal, et al|Pluhacek, Michal, et al. "[**Leveraging large language models for the generation of novel metaheuristic optimization algorithms**](https://dl.acm.org/doi/abs/10.1145/3583133.3596401?casa_token=BbFUg5AKwPYAAAAA:AVnEru8jaHlfvs7tgYhiY8Qr4HBBvKTQxWA8xshnf2cdUSXfr6nlBQs6q0epy2iqw8-5m1RZ5VPW)." Proceedings of the Companion Conference on Genetic and Evolutionary Computation. 2023.|-|[PDF](MetaBBO/MetaBBO-LLMs/pluhacek2023leveraging/Leveraging%20Large%20Language%20Models%20for%20the%20Generation%20of%20Novel%20Metaheuristic%20Optimization%20Algorithms.pdf) [BibTex](MetaBBO/MetaBBO-LLMs/pluhacek2023leveraging/BibTex)| |LMEA|Liu, Shengcai, et al. "[**Large language models as evolutionary optimizers**](https://arxiv.org/abs/2310.19046)." arXiv preprint arXiv:2310.19046 (2023).|-|[PDF](MetaBBO/MetaBBO-LLMs/LMEA/Large%20Language%20Models%20as%20Evolutionary%20Optimizers.pdf) [BibTex](MetaBBO/MetaBBO-LLMs/LMEA/BibTex)| @@ -199,7 +201,7 @@ This respository aims to maintain a list of useful relevant papers and open sour |MOEA/D-LLM|Liu, Fei, et al. "[**Large language model for multi-objective evolutionary optimization**](https://arxiv.org/abs/2310.12541)." arXiv preprint arXiv:2310.12541 (2023).|-|[PDF](MetaBBO/MetaBBO-LLMs/MOEA-D-LLM/Large%20Language%20Model%20for%20Multi-objective%20Evolutionary%20Optimization.pdf) [BibTex](MetaBBO/MetaBBO-LLMs/MOEA-D-LLM/BibTex)| |EoH|Liu, Fei, et al. "[**Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model**](https://www.researchgate.net/publication/380399749_Evolution_of_Heuristics_Towards_Efficient_Automatic_Algorithm_Design_Using_Large_Language_Model)." arXiv preprint arXiv:2309.03409 (2023).|[nobodynobodypaper/EoH](https://github.com/nobodynobodypaper/EoH)|[PDF](MetaBBO/MetaBBO-LLMs/EoH/Evolution%20of%20Heuristics%20Towards%20Efficient%20Automatic%20Algorithm%20Design%20Using%20Large%20Language%20Model.pdf) [BibTex](MetaBBO/MetaBBO-LLMs/EoH/BibTex)| |Zhang, Michael R., et al|Zhang, Michael R., et al. "[**Using Large Language Models for Hyperparameter Optimization**](https://openreview.net/forum?id=FUdZ6HEOre)." NeurIPS 2023 Foundation Models for Decision Making Workshop. 2023.|-|[PDF](MetaBBO/MetaBBO-LLMs/zhang2023using/Using%20Large%20Language%20Models%20for%20Hyperparameter%20Optimization.pdf) [BibTex](MetaBBO/MetaBBO-LLMs/zhang2023using/BibTex)| -|EvoPrompt|Guo, Qingyan, et al. "[**Connecting large language models with evolutionary algorithms yields powerful prompt optimizers**](https://arxiv.org/abs/2309.08532)." arXiv preprint arXiv:2309.08532 (2023).|[beeevita/EvoPrompt](https://github.com/beeevita/EvoPrompt)|[PDF](MetaBBO/MetaBBO-LLMs/EvoPrompt/Connecting%20large%20language%20models%20with%20evolutionary%20algorithms%20yields%20powerful%20prompt%20optimizers.pdf) [BibTex](MetaBBO/MetaBBO-LLMs/EvoPrompt/BibTex)| + See also [FeiLiu36/LLM4Opt](https://github.com/FeiLiu36/LLM4Opt) and [jxzhangjhu/Awesome-LLM-Prompt-Optimization](https://github.com/jxzhangjhu/Awesome-LLM-Prompt-Optimization).