Difference between revisions of "B.labs"
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<htmltag tagname="object" type="text/html" data="https://labraj.feri.um.si/labspuzzle/" width="800" height="500"></htmltag> | <htmltag tagname="object" type="text/html" data="https://labraj.feri.um.si/labspuzzle/" width="800" height="500"></htmltag> | ||
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| + | == Crowd-sourcing == | ||
| + | A crowd-sourcing [http://evode.feri.um.si EvoDE] server has been implemented to facilitate experimentation and push the frontiers on finding new best-known values for the labs problem. | ||
| + | The lssOrel solver is running within a web browser. Thus, this problem can be solved on various devices that are in different locations. | ||
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| + | If you want to help us, please visit the following link: http://evode.feri.um.si | ||
== Publication == | == Publication == | ||
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== Software and solutions == | == 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 [https://github.com/borkob/git_labs GitHub]. | 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 [https://github.com/borkob/git_labs GitHub]. | ||
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[[Category:Borko_Bošković]] | [[Category:Borko_Bošković]] | ||
Revision as of 12:02, 5 March 2018
Contents
Low-Autocorrelation Binary Sequences Problem
Puzzle
Crowd-sourcing
A crowd-sourcing EvoDE server has been implemented to facilitate experimentation and push the frontiers on finding new best-known values for the labs problem. The lssOrel solver is running within a web browser. Thus, this problem can be solved on various devices that are in different locations.
If you want to help us, please visit the following link: http://evode.feri.um.si
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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| Slides | |
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.