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Benchmarking languages for evolutionary algorithms

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Juan J. Merelo
Juan J. Merelo

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This work has been supported in part by projects TIN2014-56494-C4-3-P (Spanish Ministry of Economy and Competitiveness) and project V17-2015 of the Microprojects program 2015 from CEI BioTIC Granada. Image credits ● Background: N. Raymond at flic.kr/p/h6R8go ● Cars: CarSpotter at flic.kr/p/d1kZ3J ● Language logos from Wikipedia ● Winners from goo.gl/BeLv0H by Chris McDonald Benchmarking LanguagesBenchmarking Languages for Evolutionaryfor Evolutionary AlgorithmsAlgorithms “10110011001100” (T,F,T,T,F,F,T,T,F,F,T,T,F,F) Compiled languages are best. Python is fast. Perl and Node are fast. Data structures don't matter. Check out Rust and Go!

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Benchmarking languages for evolutionary algorithms

  • 1. This work has been supported in part by projects TIN2014-56494-C4-3-P (Spanish Ministry of Economy and Competitiveness) and project V17-2015 of the Microprojects program 2015 from CEI BioTIC Granada. Image credits ● Background: N. Raymond at flic.kr/p/h6R8go ● Cars: CarSpotter at flic.kr/p/d1kZ3J ● Language logos from Wikipedia ● Winners from goo.gl/BeLv0H by Chris McDonald Benchmarking LanguagesBenchmarking Languages for Evolutionaryfor Evolutionary AlgorithmsAlgorithms “10110011001100” (T,F,T,T,F,F,T,T,F,F,T,T,F,F) Compiled languages are best. Python is fast. Perl and Node are fast. Data structures don't matter. Check out Rust and Go!