Difference between revisions of "B.labs"
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authors = B. Bošković, F. Brglez, J. Brest | | authors = B. Bošković, F. Brglez, J. Brest | | ||
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<htmltag tagname="object" height="50" data="https://api.elsevier.com/content/abstract/citation-count?doi=10.1016/j.asoc.2017.02.024&httpAccept=text/html&apiKey=3b1133e7e3f34750a7acf86daf71927b"></htmltag> | <htmltag tagname="object" height="50" data="https://api.elsevier.com/content/abstract/citation-count?doi=10.1016/j.asoc.2017.02.024&httpAccept=text/html&apiKey=3b1133e7e3f34750a7acf86daf71927b"></htmltag> | ||
| − | </td></tr></table> | + | </td><td align="left" valign="top" width="100%">[https://audioslides.elsevier.com/ViewerSmall.aspx?doi=10.1016/j.asoc.2017.02.024&Source=0&resumeTime=0&resumeSlideIndex=0&width=800&height=639 Slides]</td></tr></table> |
== Software and solutions == | == Software and solutions == | ||
Revision as of 09:15, 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.