N. Álvarez-Gil

Accelerating LLM-Based Algorithm Evolution for the 3D Container Loading Problem

This work proposes a pipeline that introduces a novel regularization architecture balancing performance and complexity, and mitigate the side effects of automated tuning through two novel components: a symbolic pruning mutator and a complexity-aware mutation gate that explicitly filters out mutations leading to excessive code growth.