Image de couverture de livre

Assessing Reproducibility in Evolutionary Computation: A Case Study using Human- and LLM-based Assessment

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Da Ros, Francesca, Začiragić, Tarik, Plaat, Aske, Bäck, Thomas, van Stein, Niki
Format:	Preprint
Publié:	2026
Sujets:	Neural and Evolutionary Computing Artificial Intelligence Software Engineering
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics
par: van Stein, Niki, et autres
Publié: (2025)

LLaMEA-SAGE: Guiding Automated Algorithm Design with Structural Feedback from Explainable AI
par: van Stein, Niki, et autres
Publié: (2026)

LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
par: van Stein, Niki, et autres
Publié: (2024)

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems
par: Yousefizadeh, Hossein, et autres
Publié: (2024)

REvolution: An Evolutionary Framework for RTL Generation driven by Large Language Models
par: Min, Kyungjun, et autres
Publié: (2025)

Automated Prompt Engineering for Cost-Effective Code Generation Using Evolutionary Algorithm
par: Taherkhani, Hamed, et autres
Publié: (2024)

Generational Computation Reduction in Informal Counterexample-Driven Genetic Programming
par: Helmuth, Thomas, et autres
Publié: (2024)

In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristics
par: van Stein, Niki, et autres
Publié: (2024)

Modelling Open-Source Software Reliability Incorporating Swarm Intelligence-Based Techniques
par: Shatnawi, Omar
Publié: (2024)

Unlocking the Secrets of Software Configuration Landscapes-Ruggedness, Accessibility, Escapability, and Transferability
par: Huang, Mingyu, et autres
Publié: (2022)

Guiding the Search Towards Failure-Inducing Test Inputs Using Support Vector Machines
par: Sorokin, Lev, et autres
Publié: (2024)

Many-Objective Neuroevolution for Testing Games
par: Feldmeier, Patric, et autres
Publié: (2025)

Socialz: Multi-Feature Social Fuzz Testing
par: Zanartu, Francisco, et autres
Publié: (2023)

LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms
par: Li, Wenhu, et autres
Publié: (2025)

Block-Bench: A Framework for Controllable and Transparent Discrete Optimization Benchmarking
par: Ye, Furong, et autres
Publié: (2026)

Selection of Filters for Photonic Crystal Spectrometer Using Domain-Aware Evolutionary Algorithms
par: Antonov, Kirill, et autres
Publié: (2024)

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms
par: Yin, Haoran, et autres
Publié: (2024)

Optimizing Photonic Structures with Large Language Model Driven Algorithm Discovery
par: Yin, Haoran, et autres
Publié: (2025)

Investigating the Interplay of Parameterization and Optimizer in Gradient-Free Topology Optimization: A Cantilever Beam Case Study
par: Westra, Jelle, et autres
Publié: (2026)

From Performance to Understanding: A Vision for Explainable Automated Algorithm Design
par: van Stein, Niki, et autres
Publié: (2025)

Search-based Selection of Metamorphic Relations for Optimized Robustness Testing of Large Language Models
par: Hyun, Sangwon, et autres
Publié: (2025)

Path Analysis for Effective Fault Localization in Deep Neural Networks
par: Hashemifar, Soroush, et autres
Publié: (2023)

Combining Neuroevolution with the Search for Novelty to Improve the Generation of Test Inputs for Games
par: Feldmeier, Patric, et autres
Publié: (2024)

On Accelerating Deep Neural Network Mutation Analysis by Neuron and Mutant Clustering
par: Lyons, Lauren, et autres
Publié: (2025)

Memory as Resonance: A Biomimetic Architecture for Infinite Context Memory on Ergodic Phonetic Manifolds
par: Houichime, Tarik, et autres
Publié: (2025)

Behaviour Space Analysis of LLM-driven Meta-heuristic Discovery
par: van Stein, Niki, et autres
Publié: (2025)

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy
par: Boraud, Virgile, et autres
Publié: (2025)

LLM Driven Design of Continuous Optimization Problems with Controllable High-level Properties
par: Skvorc, Urban, et autres
Publié: (2026)

Explainable Benchmarking for Iterative Optimization Heuristics
par: van Stein, Niki, et autres
Publié: (2024)

Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms
par: van Stein, Niki, et autres
Publié: (2025)

Structural bias in multi-objective optimisation
par: Kudela, Jakub, et autres
Publié: (2026)

HEAS: Hierarchical Evolutionary Agent-Based Simulation Framework for Multi-Objective Policy Search
par: Zhang, Ruiyu, et autres
Publié: (2025)

EDOLAB: An Open-Source Platform for Education and Experimentation with Evolutionary Dynamic Optimization Algorithms
par: Peng, Mai, et autres
Publié: (2023)

Fully Autonomous Programming using Iterative Multi-Agent Debugging with Large Language Models
par: Grishina, Anastasiia, et autres
Publié: (2025)

Dealing with Drift of Adaptation Spaces in Learning-based Self-Adaptive Systems using Lifelong Self-Adaptation
par: Gheibi, Omid, et autres
Publié: (2022)

Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems
par: Cheng, Mingfei, et autres
Publié: (2024)

From Heuristic Selection to Automated Algorithm Design: LLMs Benefit from Strong Priors
par: Huang, Qi, et autres
Publié: (2026)

Landscape-Aware Automated Algorithm Configuration using Multi-output Mixed Regression and Classification
par: Long, Fu Xing, et autres
Publié: (2024)

Kernel Foundry: A Diagnosis-driven Evolutionary Kernel Optimizer with Multi-Experts
par: Huang, Zixuan, et autres
Publié: (2026)

TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification
par: Huang, Qi, et autres
Publié: (2024)