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Difference between revisions of "B.labs"


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== Publication ==
 
== Publication ==
  
B. Bošković, F. Brglez and J. Brest, '''Low-Autocorrelation Binary Sequences: On Improved Merit Factors and Runtime Predictions to Achieve Them''', http://arxiv.org/abs/1406.5301, under review.
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<table><tr><td>
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{{cite |
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  authors = B. Bošković, F. Brglez, J. Brest |
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  title = Low-Autocorrelation Binary Sequences: On Improved Merit Factors and Runtime Predictions to Achieve Them |
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  url = https://authors.elsevier.com/a/1UyhM5aecSVn0V |
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  journal =Applied Soft Computing |
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  year = 2017 |
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  volume = 56 |
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  issue = ?? |
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  pages =  262–285 |
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  citetype = Article |
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  arxiv = http://arxiv.org/abs/1406.5301 |
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  name = BoskovicLABS |
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  doi = 10.1016/j.asoc.2017.02.024
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}}
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</td><td rowspan="2">[[File:LABSabstract.png|link=|300px]]</td></tr>
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<tr><td>
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</td></tr></table>
  
 
== Software and solutions ==
 
== Software and solutions ==

Revision as of 15:38, 5 May 2017

Low-Autocorrelation Binary Sequences Problem

Puzzle

Publication

(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.

LABSabstract.png

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.