Search Results for author: Mario García-Valdez

Found 2 papers, 1 papers with code

NodIO, a JavaScript framework for volunteer-based evolutionary algorithms : first results

no code implementations7 Jan 2016 Juan-J. Merelo, Mario García-Valdez, Pedro A. Castillo, Pablo García-Sánchez, P. de las Cuevas, Nuria Rico

We present such an application for running distributed volunteer-based evolutionary algorithm experiments, and we make a series of measurements to establish the speed of JavaScript in evolutionary algorithms that can serve as a baseline for comparison with other distributed computing experiments.

Distributed Computing Evolutionary Algorithms

There is no fast lunch: an examination of the running speed of evolutionary algorithms in several languages

1 code implementation3 Nov 2015 Juan-J. Merelo, Pablo García-Sánchez, Mario García-Valdez, Israel Blancas

It is quite usual when an evolutionary algorithm tool or library uses a language other than C, C++, Java or Matlab that a reviewer or the audience questions its usefulness based on the speed of those other languages, purportedly slower than the aforementioned ones.

Evolutionary Algorithms

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