Search Results for "genetic algorithm c"

* Fast GPU linear algebra library (matrix maths) for the C++ language, aiming towards a good balance between speed and ease of use * Provides high-level syntax and functionality deliberately similar to Matlab * Provides an API that is aiming to be compatible with Armadillo for easy transition between CPU and GPU linear algebra code * Useful for algorithm development directly in C++, or quick conversion of research code into production environments * Distributed under the permissive Apache 2.0 license, useful for both open-source and proprietary (closed-source) software * Can be used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc * Downloads: http://coot.sourceforge.io/download.html * Documentation: http://coot.sourceforge.io/docs.html * Bug reports: http://coot.sourceforge.io/faq.html * Git repo: https://gitlab.com/conradsnicta/bandicoot-code

This project consists of various implementations of the Graphplan algorithm. At the moment we have two implementations of Graphplan: * Emplan - A C++ implementation for Linux, Windows and MacOS X * JavaGP - A Java implementation

EASEA (EAsy Specification of Evolutionary Algorithms: pronounce "easy") is a high-level language dedicated to the specification of evolutionary algorithms. EASEA up to version 0.7 compiles .ez specification files into C++ or JAVA object files.

Critterding is a "Petri dish" universe in 3D that demonstrates evolving artificial life. Critters start out with completely random brains and bodies, but will automatically start evolving into something with much better survival skills.

GS-GP is a free/open source C++ library that provides a robust and efficient implementation of geometric semantic genetic operators for Genetic Programming.

Classical genetic algorithm suffers heavy pressure of fitness evaluation for time-consuming optimization problems. To address this problem, we present an efficient genetic algorithm by the combination with clustering methods. The high efficiency of the proposed method results from the fitness estimation and the schema discovery of partial individuals in current population and.

The Crystallizing Substochastic Sequential Machine Extractor, CrySSMEx, is an algorithm for extracting Finite State Machines from Recurrent Neural Networks. Input: sequential data generated from RNNs. Output: (stochastic) FSMs and state space quantizers.

A simple but very effective algorithm for predicting a binary stream

GenetiK is a generic framework that supports evolutionary algorithms, in particular Genetic Algorithms and Genetic Programming (and also Strongly Typed GP).

A light-weight Genetic Programming system written in C++ that is intended primarily for Symbolic Regression

Yacca is an advanced chat bot (other plugins are under development, including a command-line only version for you to interact with yacca) that is designed to resemble a human chatter as closely as possible.

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 (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.

A genetic algorithm framework to allow the evolution of synapse weights and topologies of artificial neural networks.