Projects / Genetic Algorithms in Squeak

Genetic Algorithms in Squeak

Genetic Algorithm in Squeak is a genetic algorithm framework that implements the operation of selection, mutation, and crossing-over. Memetic-algorithm capabilities were added through an implementation of a local search based on hill climbing and dynamic hill climbing. Mutation operations are based on random gaussian-like distribution, so small adjustments are more likely than drastic ones. Selection is implemented with Tournament or with Roulette Wheel and Elite, in Roulette Wheel you can chose Sigma Fitness Scaling or Linear Fitness Scaling. The modelling capabilities of Smalltalk and the visualization an development capabilities of Squeak were exploited, and priorized in spite of the apparently low performance of both Smalltalk and Squeak.

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Recent releases

  •  15 Aug 2002 08:47

    No changes have been submitted for this release.

    Recent comments

    18 Jan 2012 05:45 brickrey

    could you share the proyect?

    26 Mar 2010 23:35 asma

    The source code can be communicated?


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