Toward Evolving Dispatching Rules With Flow Control Operations By Grammar-Guided Linear Genetic Programming

Z Huang, Y Mei, F Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Linear genetic programming (LGP) has been successfully applied to dynamic job shop
scheduling (DJSS) to automatically evolve dispatching rules. Flow control operations are …

Comparing Large Language Models and Grammatical Evolution for Code Generation

LL Custode, CC Migliore Rambaldi, M Roveri… - Proceedings of the …, 2024 - dl.acm.org
Code generation is one of the most valuable applications of AI, as it allows for automated
programming and" self-building" programs. Both Large Language Models (LLMs) and …

The Impact of Code Bloat on Genetic Program Comprehension: Replication of a Controlled Experiment on Semantic Inference

T Kosar, Ž Kovačević, M Mernik, B Slivnik - Mathematics, 2023 - mdpi.com
Our previous study showed that automatically generated attribute grammars were harder to
comprehend than manually written attribute grammars, mostly due to unexpected solutions …

EVOTER: Evolution of Transparent Explainable Rule sets

H Shahrzad, B Hodjat, R Miikkulainen - ACM Transactions on …, 2024 - dl.acm.org
Most AI systems are black boxes generating reasonable outputs for given inputs. Some
domains, however, have explainability and trustworthiness requirements that cannot be …