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EO is a template-based, ANSI-C++ evolutionary computation library which helps you to write your own stochastic optimization algorithms insanely fast. With the help of EO, you can easily design evolutionary algorithms that will find solutions to virtually all kind of hard optimization problems ... [More] , from continuous to combinatorial ones. Designing an algorithm with EO consists in choosing what components you want to use for your specific needs, just as building a structure with Lego blocks. [Less]

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  0 reviews  |  6 users  |  60,764 lines of code  |  7 current contributors  |  Analyzed 5 days ago
 
 

Some day this will be a genetic programming library

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  0 reviews  |  0 users  |  424 lines of code  |  0 current contributors  |  Analyzed about 2 years ago
 
 

Some day this will be a genetic programming library

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  0 reviews  |  0 users  |  0 current contributors
 
 

ECF is a C++ framework intended for application of any type of evolutionary computation. Current features include: * parameterless: genotype (individual structure) is the only mandatory parameter * genetic algorithm genotypes (bitstring, binary encoded real values, floating point vectors ... [More] , permutation vectors), genetic programming genotype (tree) * individuals may contain any genotypes in any number * algorithms: steady state tournament, generational roulette-wheel, particle swarm optimization (PSO) * parallel execution in many models (global paralel EA, distributed EA, hybrid parallel EA...) using MPI [Less]

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  0 reviews  |  0 users  |  41,018 lines of code  |  1 current contributor  |  Analyzed 7 months ago
 
 
 
 

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