Dataset vv2 BSD 3-Clause Clear License

NEVO Dataset

Codes and experimental results for NEVO, a neuromorphic evolutionary optimiser with spike-driven Cortico-Basal-Thalamic coordination, evaluated on the BBOB benchmark suite.

GitHub Documentation Zenodo

Dataset Neuromorphic Optimisation Evolutionary Computation Spiking Neural Networks Cortico-Basal-Thalamic Loop BBOB Nengo

This repository contains code, datasets, and analysis artefacts generated from experiments conducted with the NEVO framework.

About This Dataset

This Zenodo repository serves exclusively for reproducibility, providing:

Raw experimental data from all performed benchmark runs
Experimental configurations and parameter files
Scripts and processing routines used to generate the experimental figures and tables reported in the paper

The complete experiments evaluate NEVO on the BBOB noiseless benchmark suite (24 functions, 6 dimensions, 15 instances), with operator coordination implemented through spike-driven Cortico-Basal-Thalamic Loop (CBTL) dynamics.

Datasets

File	Description
`exdata.zip`	Raw experimental data from full BBOB runs in CocoEx format
`ppdata.zip`	Postprocessed benchmark data and analysis artefacts
`cocoex-complementary.zip`	Complementary COCO metrics, summaries, and publication figures
`preliminary-figures.zip`	Preliminary visualisation outputs from the basic experiment

Scripts

File	Description
`nevo-main.zip`	Complete NEVO implementation with core optimiser, operators, and benchmark scripts (frozen version, for reproducibility)
`basic_example.py`	Example script for preliminary validation figures
`benchmark_experiment.py`	Script used to execute full BBOB benchmark experiments

How to Use

The experiments can be reproduced by extracting the code package and running the benchmark script:

python benchmark_experiment.py

Full Framework

The complete NEVO framework implementation is available and maintained at the GitHub repository.

Citation

@dataset{Cruz2026nevo-dataset,
    author       = {Cruz-Duarte, Jorge M. and Talbi, El-ghazali},
    title        = {NEVO: A Neuromorphic EVolutionary Optimiser with Spike-Driven Cortico-Basal-Thalamic Coordination - Codes and Results},
    year         = 2026,
    publisher    = {Zenodo},
    version      = {v2},
    doi          = {10.5281/zenodo.19188034},
    url          = {https://doi.org/10.5281/zenodo.19188034},
}