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An article demonstrating how to train a car to self-park using a genetic algorithm in 500 lines of TypeScript code, with an interactive simulator.
This paper formulates a multi-item capacitated lot-sizing problem with stochastic demand timing as a discrete-time MDP and proposes a genetic algorithm to solve it, demonstrating efficiency on benchmark instances.
This paper introduces P&ID Pilot, an end-to-end AI pipeline combining genetic algorithms and LLMs to generate optimal process flow diagrams (PFDs) and transform them into validated piping and instrumentation diagrams (P&IDs), reducing manual engineering effort.
Introduces LPES, a layer-specific positional embedding scaling method that mitigates the 'lost-in-the-middle' problem in LLMs by assigning distinct scaling factors per layer using a genetic algorithm with Bézier curves, achieving up to 11.2% accuracy gain without fine-tuning or latency increase.
A developer upgrades his AI dating assistant to Fable, detailing a complex architecture of agentic AI agents that scrape social media profiles, perform OSINT enrichment, score matches, and use genetic algorithms for optimization.
This paper proposes a hybrid WGAN-GA approach for refining generative graph topologies, using a genetic algorithm to correct residual structural deviations in GAN-based generated graphs, improving realism for synthetic graph synthesis and data augmentation.
ToolMol is an evolutionary agentic framework that combines a multi-objective genetic algorithm with an LLM-based operator to design small-molecule drugs, achieving state-of-the-art binding affinity and drug-likeness on multiple protein targets.
GEPA is a prompt optimizer that uses natural language reflection to learn from trial and error, outperforming reinforcement learning methods like GRPO and MIPROv2 with up to 35x fewer rollouts across multiple tasks.