Paper for EvoStar 2019 Concurrent Perl6 Evolutionary algorithms
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License: GNU General Public License v3.0
Working with concurrent evolutionary algorithms for EvoStar
License: GNU General Public License v3.0
With a light evaluation it takes more time to communicate than to actually do something, so concurrency is useless.
Use, for instance, p-peaks.
Measure scaling up to the number of threads the computer admits.
Eliminate authors and acks and third-personize references.
Think about new title, more adequate for EvoStar.
Please revise after submission; I turned it in early to not miss the deadline, but if there's some typo or big error we should be able to submit it again. Please do so now.
After the initial proof of concepts, I think this one should focus on scalability and its limits.
Any other thought?
With adaptive or fixed batch size, and measure time and scaling with number of threads.
Check other pool-based and concurrent implementations, including Erlang, Scala, and others like that. Maybe test Go (for speed)
I have started with the de-anonymization of the paper for the camera-ready version which is due by February 11th.
Things done in 20eedbb
Things TODO:
There's a Data::MessagePack module we can use for that.
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