文件列表:

+fsf\+ga\+events\IterationEndsEventArgs.m (893, 2012-12-20)
+fsf\+ga\+operators\+replacement\Elitism.m (1691, 2012-12-20)
+fsf\+ga\+operators\+selection\Random.m (773, 2012-12-20)
+fsf\+ga\+operators\BaseCrossover.m (2715, 2012-12-20)
+fsf\+ga\+operators\BaseMutation.m (2414, 2012-12-20)
+fsf\+ga\+operators\BaseOperator.m (334, 2012-12-20)
+fsf\+ga\+operators\BaseReplacement.m (2664, 2012-12-20)
+fsf\+ga\+operators\BaseSelection.m (1582, 2012-12-20)
+fsf\+ga\Configuration.m (800, 2012-12-20)
+fsf\+ga\Fitness.m (817, 2012-12-20)
+fsf\+ga\FitnessEvaluator.m (2375, 2012-12-20)
+fsf\+ga\GeneticAlgorithm.m (4352, 2012-12-20)
+fsf\+ga\Individual.m (1223, 2012-12-20)
+fsf\+ga\IndividualFactory.m (3491, 2012-12-20)
+fsf\+ga\IndividualFactoryArgs.m (474, 2012-12-20)
+fsf\+ga\OperatorSet.m (1832, 2012-12-20)
+fsf\+ga\Population.m (3002, 2012-12-20)
+fsf\+ga\Result.m (984, 2012-12-20)
+fsf\+matlab\+system\HiddenHandle.m (1141, 2012-12-20)
+fsf\+matlab\+system\IClonable.m (243, 2012-12-20)
+sample\+features\Crossover.m (1157, 2012-12-20)
+sample\+features\FitnessEvaluator.m (1955, 2012-12-20)
+sample\+features\Individual.m (1071, 2012-12-20)
+sample\+features\IndividualFactory.m (1742, 2012-12-20)
+sample\+features\IndividualFactoryArgs.m (516, 2012-12-20)
+sample\+features\Mutation.m (799, 2012-12-20)
+sample\dummy_data.mat (1069852, 2012-12-20)
+sample\dummy_GUI.m (1022, 2012-12-20)
+sample\feature_selection_with_Genetic_Algorithm.asv (2007, 2012-12-20)
+sample\feature_selection_with_Genetic_Algorithm.m (1980, 2012-12-20)
Docs\1. Welcome.txt (261, 2013-11-07)
Docs\2. The Framework.txt (865, 2013-11-07)
Docs\3- How to start.txt (237, 2013-11-07)
Docs\4. The basic configuration.txt (963, 2013-11-07)
Docs\5. My Genetics what to implement.txt (2364, 2013-11-07)
+fsf\+ga\+operators\+replacement (0, 2012-12-20)
+fsf\+ga\+operators\+selection (0, 2012-12-20)
+fsf\+ga\+events (0, 2012-12-20)
+fsf\+ga\+operators (0, 2012-12-20)
... ...

Genetic-Algorithm: now... in Matlab. ====================================

Are you tired about not finding a good implementation for Genetic Algorithms?

Stop looking for, here you got it! Download it and try it! It includes a dummy example to realize how to use the framework, implementing a feature selection problem.

Do you think that something generic can be done ?

Genetic algorithms are well defined, but people code them again and again. This framework will allow you to just focus in you problem specific implementation, because the well defined parts of the Genetic Algorithms are already implemented and ready to use. Yes, ready to use.

How much effort do you spend in copy and paste + refactor the same stuff again and again?

No more copy and paste + refactor, just code your problem specific details and run inside the framework.

Congratulations!!

From now on, Genetic Algorithms are already done!!

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