Genetic Algorithms with Optimization Guided Operators
cs.NE, cs.AI, cs.LG
Submitted: 2026-06-10
Updated: 2026-09-25
Terminology
Sources
- Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
- Flow-based Extremal Mathematical Structure Discovery
- PatternBoost: Constructions in Mathematics with a Little Help from AI
- Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers
- Population Based Training of Neural Networks
- Evolving Deeper LLM Thinking
- Reinforced Generation of Combinatorial Structures: Ramsey Numbers
- AlphaEvolve: A coding agent for scientific and algorithmic discovery
- Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
- Evolution Strategies as a Scalable Alternative to Reinforcement Learning
- Proximal Policy Optimization Algorithms
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
- Lyria: A Genetic Algorithm-Driven Neuro-Symbolic Reasoning Framework for LLMs
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