Genetic Algorithms with Optimization Guided Operators

arXiv:2606.12279 · cs.NE, cs.AI, cs.LG · Submitted 2026-06-10 · Read on arXiv

cs.NE, cs.AI, cs.LG

Submitted: 2026-06-10

Updated: 2026-09-25

Comments: Added references to the literature, other small changes

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Reinforcement Learning — 12× in this paper · explained in 4 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Query Complexity — 3× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Model Merging — 2× in this paper · explained in 2 episodes
• Reward Function — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Markov Decision Process — 1× in this paper
• Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
• Regret — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes

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

Related papers

• Evolutionary Ensemble of Agents
• Encoding and Decoding Temporal Signals with Spiking Bandpass Wavelets
• Large Language Models and Evolutionary Computation: A Critical Review of Bidirectional Interaction, Automated Algorithm Design, and Co-Adaptive Systems
• Evolutionary Architecture Search for Chlorophyll- a Prediction in Lakes using Sentinel-2
• Learning Alzheimer's Disease Signatures by bridging EEG with Spiking Neural Networks and Biophysical Simulations
• Neuromorphic Satellite Intelligence: A Formal Framework for Event-Driven Architectures, Spike-Based Algorithms, and Quantitative Energy-Accuracy Trade-offs