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Showing 8 open source projects for "using"
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Point Symmetry Clustering
Point Symmetry Clustering Approach Using Differential Evolution
Implementation of Point Symmetry-based Automatic Clustering Approach Using Differential Evolution Using bug fixed KD tree nearest neighbor search from https://github.com/CristianDallos/kmeansclustering. (It is also modified to search for multiple nearest points instead only for one.) Used those academic works for algorithm implementation: http://cs.cug.edu.cn/teacherweb/gwy/Publication/ISICA-09.pdf http://www.isical.ac.in/~sanghami/ieeetkde_cameraready.pdf http://www.softcomputing.net/smca-paper1.pdf 1. ... -
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Bin Packing with Genectic Algorithm
Bin Packing problem solved using Genectic Algorithm
This project contains a solution for a Bin Packing problem solved using Genectic Algorithms. The code in the project was created as a solution for a problem in a combinatorial optimization class at the Univeridade Federal do Rio Grande do Sul (UFRGS - Brasil) in 2007. -
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Framework for development of simple evolutionary algorithms / island models programs in distributed environment using MapReduce programming model based on hadoop.
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GeneThello (read jə-ˈne-ˈthe-lō), is an acronym for genetic othello, an othello (reversi) playing program which based on Genetic Algorithm (GA). In principle GeneThello consist of an othello program and a genetic algorithm system.
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Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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http://jocdelavida.piposerver.com - Online implementation of Conway's Game of the Life 0 players game, but using entities based on the nature, like animals or plants who born, grow up, reproduces breed and die. Written in Java 6 and Adobe Flex 3.
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Classroom allocation using Genetic Algorithms and restricted mutation. Developed by AIGroup: Pablo Cababie, Facundo Cancelo, Alvaro Zweig y Gabriel Barrera
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This project is using genetics algorithms to complete scheduling tasks such as timetables for elementary / high schools etc. Currently NetBeans project with no GUI and simple HTML export.
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This is a cross-platform framework for using Genetic Algorithms for solutions. Written in Java and uses convinient plug-in features for every phase in the genetic development, while maintaining an easy-to-use API for easy integration into applications.
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