#evolutionary algorithms
12 papers match
LLM-Guided Evolutionary Search for Constraint Model Reformulation to Improve Solver Efficiency
Kostis Michailidis, Dimos Tsouros, Nguyen Dang +1
The paper explores using large language models within an evolutionary search framework to automatically reformulate constraint models for faster solving, introducing a diversity‑pr…
Neural Architecture Search for Traffic Prediction: A Survey of Methods, Challenges, and Future Directions
Truong Giang Vu, Li Yang, Richard W. Pazzi
The paper surveys how neural architecture search techniques are used to automatically design deep learning models for traffic prediction, reviewing gradient‑based, evolutionary, an…
QCOEM: Quantum Cloud Orchestration with Evolutionary Multi-Objective Optimization
Tam N. Pham, Hoa T. Nguyen, Quan Le-Trung
The paper introduces QCOEM, a framework that uses evolutionary multi-objective optimization to schedule quantum tasks across heterogeneous quantum cloud backends while accounting f…
Confidence-based Ranking with Adaptive Sampling for Noisy Black-Box Optimisation
Enrico Halim, Hemant Kumar Singh, Tapabrata Ray
The paper proposes a new confidence‑based ranking method that adaptively resamples solutions to improve fitness estimation in noisy black‑box optimization, handling both uniform an…
DarwinLM: Evolutionary Structured Pruning of Large Language Models
Shengkun Tang, Oliver Sieberling, Eldar Kurtic +2
The paper introduces DarwinLM, an evolutionary search method for training-aware structured pruning of large language models that integrates lightweight post‑pruning training to fin…
The impact of objective interactions on the performance of massive objective optimization algorithms
Shakiba Shahbandegan, Jose Guadalupe Hernandez, Emily Dolson
The paper studies how the number of objectives and their interactions affect the performance of several evolutionary multi‑objective optimization algorithms, using a scalable diagn…