Difference between revisions of "B.labs"
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authors = B. Bošković, F. Brglez, J. Brest | | authors = B. Bošković, F. Brglez, J. Brest | | ||
title = Low-Autocorrelation Binary Sequences: On Improved Merit Factors and Runtime Predictions to Achieve Them | | title = Low-Autocorrelation Binary Sequences: On Improved Merit Factors and Runtime Predictions to Achieve Them | | ||
| − | url = | + | url = http://www.sciencedirect.com/science/article/pii/S1568494617301023 | |
journal =Applied Soft Computing | | journal =Applied Soft Computing | | ||
year = 2017 | | year = 2017 | | ||
Revision as of 09:42, 19 June 2017
Contents
Low-Autocorrelation Binary Sequences Problem
Puzzle
Publication
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(arXiv,pdf) B. Bošković, F. Brglez, J. Brest. Low-Autocorrelation Binary Sequences: On Improved Merit Factors and Runtime Predictions to Achieve Them. Applied Soft Computing, 2017, vol. 56, pp. 262–285. DOI 10.1016/j.asoc.2017.02.024.
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Software and solutions
Comprehensive tables of best-known-value solutions, the number of unique solutions in canonic form and the solutions themselves, the source code of relevant solvers, customized for the labs problem are available on GitHub.
Crowd-sourcing
A crowd-sourcing server prototype to facilitate experimentation and push the frontiers on finding new best-known values for the labs problem is under construction.