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GEP is an evolutionary algorithm for function finding. This framework is a powerful way of expressing and coding genetic-like structures and quickly finding solutions through evolution by common genetic operators.
This project aims to create an application to solve the job shop schedule problem using geneticalgorithm on the IBM Cell BE processor. This is useful especially using the power of Cell for the large scale job shop schedule problem.
Popular Game 15 implemented in Java. The most intersting part of the project is the geneticalgorithm which solving the puzzle. Play the game here: http://www.geocities.com/todordimitrovbalabanov/the15/
GACS (GeneticAlgorithm Class Scheduler) aims to provide to academic institutions an efficient and automatic way to generate their time scheduling for the classes that will be imparted in an academic period.
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Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (geneticalgorithm) wrappers for feature selection. WEKA 3 interfaces are in development.