evolutionary algorithms
Optimization techniques inspired by the principles of natural selection and genetics, employing mechanisms such as mutation, crossover, and selection to iteratively improve solutions to complex problems, often used in optimization and search problems.
- CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning
- Convergent Functions, Divergent Forms
- LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search
- Learning Interestingness in Automated Mathematical Theory Formation
- RF-Agent: Automated Reward Function Design via Language Agent Tree Search
- Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models