Objave
Using Neural Networks in the Search of Low Auto-correlation Binary Sequences Proceedings Article
In: 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON), pp. 1–6, IEEE 2024, ISSN: 2158-8481.
Parallel self-avoiding walks for a low-autocorrelation binary sequences problem Journal Article
In: Journal of Computational Science, 2024, (Art. no. 102260).
Dual-Step Optimization for Binary Sequences with High Merit Factors Journal Article
In: arXiv preprint arXiv:2409.07222, 2024.
An Efficient Algorithm for Designing Long Aperiodic Binary Sequences with Low Auto-Correlation Sidelobes Journal Article
In: IEEE access, vol. 12, 2024, ISSN: 2169-3536.
Two-phase optimization of binary sequences with low peak sidelobe level value Journal Article
In: Expert Systems with Applications, vol. 251, 2024, (Art. no. 124032).
Analysis based on statistical distributions: A practical approach for stochastic solvers using discrete and continuous problems Journal Article
In: Information Sciences, vol. 633, pp. 469–490, 2023.
Low Autocorrelation Binary Sequences: Best-Known Peak Sidelobe Level Values Journal Article
In: IEEE Access, vol. 9, pp. 67713–67723, 2021.
A heuristic algorithm for a low autocorrelation binary sequence problem with odd length and high merit factor Journal Article
In: IEEE Access, vol. 6, pp. 4127–4134, 2018.
Low-Autocorrelation Binary Sequences: On Improved Merit Factors and Runtime Predictions to Achieve Them Journal Article
In: Appl. Soft Comput., vol. 56, pp. 262–285, 2017.