Poster js eo-300dpi

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Poster of paper "An object-oriented library in JavaScript to build modular and flexible cross- platform evolutionary algorithms" presented at EvoStar 2014

Ciencias

An object-oriented library in JavaScript
to build modular and flexible cross-platform evolutionary algorithms
Department of Computer Sciences
University of Jaen (Spain)
Department of Computer's Architecture and Technolgy
University of Granada (Spain)
Victor M. Rivas Juan J. Merelo, Gustavo Romero, Maribel García Arenas, Antonio Mora García
The GeNeura Team's Evolutionary Object Libraries Family
1990's EO C++
2000's
JEO Java
OPEAL Perl
C++
2010's
jsEO
Javascriptnodeo
“Any object that can be attached some kind of fitness value is a potential candidate for evolution.”
github.com/vrivas/jsEO
√ Portability: 99,99% Navigator+OS
√ Trivially “installed” and executed
x Slow
x Low amount of computer resources
<<abstract>>
jsEO
<<abstract>>
jsEOIndividual
jsEOPopulation
<<abstract>>
jsEOAlgorithm
<<abstract>>
jsEOOperator
Makes
to evolve
Uses
Is composed
of
jsEO's Class Diagram: Core package
jsEO
GetIndividual
jsEO
SendIndividual
Distributed island model
X
Server
EAs are executed in many different navigators
that run under many differents operating systems
installed in many different hardware devices
Best LOCAL individual
Best GLOBAL individual
Experiments and Results
256-bit Royal Road function
128-real terms equation
Executed just accesing:
jseo.vrivas.es
Two problems
Population size: 500
Tournament size: 2
Generations: 50
Crossover rate: 0.73
Mutation rate: 0.18
Requesting individual rate: 0.09
Genes affected by mutation: 1%
Indiv. replaced per generation: 50%
(Only for the 128-term equation problem)
Range for new real values: (-10,10)
A single configuration
In about 24 hours, volunteer recruited from social networks visited the URL and ran the GA
256-bit Royal Road: 359 exec by 279 visitors, computing 3,952,000 evaluations
128-real terms equation: 304 exec by 271 visitors, computing 4,667,000 evaluations
More than 300 executions
Browsers Operating Systems
www.geneura.org

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Poster js eo-300dpi

1. An object-oriented library in JavaScript to build modular and flexible cross-platform evolutionary algorithms Department of Computer Sciences University of Jaen (Spain) Department of Computer's Architecture and Technolgy University of Granada (Spain) Victor M. Rivas Juan J. Merelo, Gustavo Romero, Maribel García Arenas, Antonio Mora García The GeNeura Team's Evolutionary Object Libraries Family 1990's EO C++ 2000's JEO Java OPEAL Perl C++ 2010's jsEO Javascriptnodeo “Any object that can be attached some kind of fitness value is a potential candidate for evolution.” github.com/vrivas/jsEO √ Portability: 99,99% Navigator+OS √ Trivially “installed” and executed x Slow x Low amount of computer resources <<abstract>> jsEO <<abstract>> jsEOIndividual jsEOPopulation <<abstract>> jsEOAlgorithm <<abstract>> jsEOOperator Makes to evolve Uses Is composed of jsEO's Class Diagram: Core package jsEO GetIndividual jsEO SendIndividual Distributed island model X Server EAs are executed in many different navigators that run under many differents operating systems installed in many different hardware devices Best LOCAL individual Best GLOBAL individual Experiments and Results 256-bit Royal Road function 128-real terms equation Executed just accesing: jseo.vrivas.es Two problems Population size: 500 Tournament size: 2 Generations: 50 Crossover rate: 0.73 Mutation rate: 0.18 Requesting individual rate: 0.09 Genes affected by mutation: 1% Indiv. replaced per generation: 50% (Only for the 128-term equation problem) Range for new real values: (-10,10) A single configuration In about 24 hours, volunteer recruited from social networks visited the URL and ran the GA 256-bit Royal Road: 359 exec by 279 visitors, computing 3,952,000 evaluations 128-real terms equation: 304 exec by 271 visitors, computing 4,667,000 evaluations More than 300 executions Browsers Operating Systems www.geneura.org

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