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Evolving Objects

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  Analyzed 3 months ago

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]

60.4K lines of code

0 current contributors

over 12 years since last commit

6 users on Open Hub

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5.0
 
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Mostly written in C++
Licenses: lgpl
Tags ai artificial-intelligence artificial_intelligence artificialintelligence c++ cma combinatorial_optimization combinatorialoptimization computationalintelligence cplusplus c++templates evolutionalgorithm 39 more...

ParadisEO

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  Analyzed 3 months ago

ParadisEO is a C++ white-box object-oriented software framework for to the reusable design of metaheuristics. * Portable on: Windows, Unix and MacOS * Parallel and distributed architectures (MPI) * Grids (Globus, Condor-G/MW) It is composed of 4 interconnected modules: * ParadisEO-EOfor ... [More] population-based metaheuristics (evolutionary algorithms, particle swarm optimization, evolution strategy, differential evolution...) * ParadisEO-MO for solution-based metaheuristics (local search, simulated annealing, tabu search, iterated local search, variable neighborhood search...) * ParadisEO-MOEO for multiobjective optimization * ParadisEO-PEO for hybrid, parallel and distributed metaheuristics * ParadisEO-SMP for memory-shared parrallel metaheuristics [Less]

146K lines of code

1 current contributors

over 6 years since last commit

5 users on Open Hub

Activity Not Available
5.0
 
0 Reviews
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Mostly written in C++
Licenses: lgpl
Tags c++ evolutionary-algorithm evolutionary-computation hybrid-metaheuristic local-search metaheuristic metaheuristics multiobjective optimization parallel tabu-search

MOEA Framework

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  Analyzed 3 months ago

The MOEA Framework is an open source Java library for developing and experimenting with multiobjective evolutionary algorithms (MOEAs) and other general-purpose optimization algorithms and metaheuristics. A number of algorithms are provided out-of-the-box, including NSGA-II, ε-MOEA, GDE3 and MOEA/D. ... [More] In addition, third-party tools like JMetal and PISA directly integrate with the MOEA Framework. The MOEA Framework targets an academic audience, providing the resources necessary to rapidly design, develop, execute and statistically test optimization algorithms. This includes over 40 test problems from the literature, and a suite of statistical tools for comparing and analyzing algorithm performance. [Less]

82.8K lines of code

1 current contributors

4 months since last commit

1 users on Open Hub

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5.0
 
0 Reviews
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Mostly written in Java
Licenses: lgpl3
Tags ai algorithms artificial-intelligence artificial_intelligence artificialintelligence combinatorial_optimization combinatorialoptimization evolutionalgorithm evolutionary evolutionary-algorithm evolutionaryalgorithm evolutionary-algorithms 36 more...

Evolutionary computation framework

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  No analysis available

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, elimination, particle swarm optimization (PSO), differential evolution (DE), artificial bee colony (ABC), clonal selection (CLONALG), genetic annealing, random search * parallel execution in many models (global paralel EA, distributed EA, hybrid parallel EA...) using MPI [Less]

0 lines of code

1 current contributors

0 since last commit

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0.0
 
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Mostly written in language not available
Licenses: mit
Tags c++ combinatorial_optimization evolutionary-algorithms evolutionary-computation framework genetic-algorithm genetic-programming parallelalgorithm paralleldistributedprocessing parallelization particle-swarm-optimization portable