Search Results for "genetic algorithm in matlab" - Page 4

Showing 330 open source projects for "genetic algorithm in matlab"

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  • 1
    MicroGP

    MicroGP

    A multi-purpose extensible self-adaptive evolutionary algorithm

    MicroGP (µGP, ugp) is a versatile optimizer able to outperform both human experts and conventional heuristics in finding the optimal solution of hard problems. It is an evolutionary algorithm since it mimics some principles of the Neo-Darwinian paradigm. ⚠️ A new version is available on https://github.com/squillero/microgp4
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  • 2
    Density-ratio based clustering

    Density-ratio based clustering

    Discovering clusters with varying densities

    This site provides the source code of two approaches for density-ratio based clustering, used for discovering clusters with varying densities. One approach is to modify a density-based clustering algorithm to do density-ratio based clustering by using its density estimator to compute density-ratio. The other approach involves rescaling the given dataset only. An existing density-based clustering algorithm, which is applied to the rescaled dataset, can find all clusters with varying...
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  • 3
    tsp-problem-ga-aco-comparisson

    tsp-problem-ga-aco-comparisson

    Genetic Algorithm and Ant Colony to solve the TSP problem

    This project compares the classical implementation of Genetic Algorithm and Ant Colony Optimization, to solve a TSP problem. It's possible to define the number of cities to visit , and also interactively create new cities to visit in a 2D spatial panel. A total distance is given for AG and ACO solution at end.
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  • 4
    CRFasRNN

    CRFasRNN

    Semantic image segmentation method described in the ICCV 2015 paper

    ...Our work allows computers to recognize objects in images, what is distinctive about our work is that we also recover the 2D outline of objects. Currently we have trained this model to recognize 20 classes. This software allows you to test our algorithm on your own images – have a try and see if you can fool it, if you get some good examples you can send them to us. CRF-RNN has been developed as a custom Caffe layer named MultiStageMeanfieldLayer. Usage of this layer in the model definition prototxt file looks the following. Check the matlab-scripts or the python-scripts folder for more detailed examples.
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    Lightspeed golf course management software

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  • 5

    Sched-Resched

    A C++ schedule generator based on Genetic Algorithm and Hill Climbing

    Sched-Sched is a C++ schedule generator for software project staffing and rescheduling based on Genetic Algorithm (GA) and Hill Climbing (HC). It is implemented with GALib (http://lancet.mit.edu/ga/), an open-source toolkit of Genetic Algorithms in various platforms including Unix and Windows. The input and output files of the software are required as XML format. The input file includes tasks' and employees' information according to predefined file format. ...
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  • 6

    theoEA_Code

    genetic algorithm for optimizing planar optical antennas

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  • 7
    Opt4J

    Opt4J

    Modular Java framework for meta-heuristic optimization

    Opt4J is an open source Java-based framework for evolutionary computation. It contains a set of (multi-objective) optimization algorithms such as evolutionary algorithms (including SPEA2 and NSGA2), differential evolution, particle swarm optimization, and simulated annealing. The benchmarks that are included comprise ZDT, DTLZ, WFG, and the knapsack problem. The goal of Opt4J is to simplify the evolutionary optimization of user-defined problems as well as the implementation of arbitrary...
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  • 8

    Sched-SPM

    A C++ schedule generator based on Genetic Algorithm and Hill Climbing

    Sched-SPM is a C++ schedule generator for software project staffing and rescheduling based on Genetic Algorithm (GA) and Hill Climbing (HC). This preliminary tool is mainly for academic purpose. It is implemented with GALib (http://lancet.mit.edu/ga/), an open-source toolkit of Genetic Algorithms in various platforms including Unix and Windows. The input and output files of the software are required as XML format. The input file includes tasks' and employees' information according to predefined file format. ...
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  • 9
    This package provides many state-of-the-art algorithms to optimize a smooth cost function defined on a Riemannian manifold. The package is written in C++ and uses the standard linear algebra libraries: BLAS and LAPACK. It can be used alone in a C++ environment or in Matlab with a Mex interface. The package is more reliable and requires smaller computational time compared with code written only in Matlab. Users need only provide a cost function, gradient function, and the action of the Riemannian Hessian (if a Newton method is used) in Matlab or C++. The package optimizes the function given a set of user-specified parameters, e.g., the domain manifold, algorithm, stopping criterion.
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  • 10

    swe2d

    Matlab 2D Shallow Water Solver

    This is a set of matlab codes to solve the depth-averaged shallow water equations following the method of Casulli (1990) in which the free-surface is solved with the theta method and momentum advection is computed with the Eulerian-Lagrangian method (ELM). The free-surface equation is computed with the conjugate-gradient algorithm. Casulli, V. (1990) Semi-implicit finite difference methods for the two-dimensional shallow water equations, J.
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  • 11

    GA-EoC

    GeneticAlgorithm-based search for Heterogeneous Ensemble Combinations

    ...To enhance classification performances, we propose an ensemble of classifiers that combine the classification outputs of base classifiers using the simplest and largely used majority voting approach. Instead of creating the ensemble using all base classifiers, we have implemented a genetic algorithm (GA) to search for the best combination from heterogeneous base classifiers. The classification performances achieved by the proposed method method on the chosen datasets are promising.
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  • 12

    GI-ICA

    Matlab implementation of GI-ICA and PEGI

    This is a matlab implementation of the GI-ICA algorithm for ICA in the presence of an additive Gaussian noise. The algorithm is discussed in the paper "Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis" by James Voss, Luis Rademacher, and Mikhail Belkin.
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  • 13

    BiRW

    Bi-random Walks for Phenome-Genome Association Prediction

    The availability of ontologies and systematic documentations of phenotypes and their genetic associations has enabled large-scale network-based global analyses of the association between the complete collection of phenotypes (phenome) and genes. BiRW is a package designed for analysis and prediction of the phenome-genome associations. BiRW package contains a program for analysis of circular bigraphs (CBGs) and the bi-random walk (BiRW) algorithm to capture the CBG patterns in the networks for unveiling human and mouse phenome-genome association. ...
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  • 14

    REDHORSE

    Software suite for the analysis of haploid hybrids using NGS

    ...We therefore designed a software suite called REDHORSE that takes genomic alignments as input, extracts meaningful markers and generates MSAs that are the inputs to existing RD algorithms. In addition, REDHORSE implements a custom RD algorithm that makes use of sequence information and genomic positions to accurately detect crossovers. REDHORSE is portable and platform independent suite that provides efficient analysis of genetic crosses based on NGS data.
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  • 15

    classify-20-NG-with-4-ML-Algo

    Problem involves classifying 20000 messages into different 20 classes

    ...Each of these algorithms has its peculiar data format; the specific format and how to reconstruct the entire dataset are illustrated in other sections below. Out of all the methods, SVM using the Libsvm [1] produced the most accurate and optimized result for its classification accuracy for the 20 classes. All the algorithm implementation was written Matlab. Download the code and Report here.
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  • 16
    This software searches the potential energy surface of small to medium size atomic systems for global minima using quantum ab initio techniques. It performs bond rotations and molecule translations and rotations on a Linux cluster with MPI.
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  • 17

    GeneticAlgorithms

    Framework for using the Genetic Algorithms optimization heuristic.

    GeneticAlgorithms is a simple and lightweight framework to implement an optimization heuristic following the Genetic Algorithms model. A genetic algorithm mimics the natural processes of evolution, selection and "survival of the fittest". This framework is intuitive and good integrated with Java 1.5 SDK and later.
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  • 18
    ...Segmentation is done in order to detect the object accurately. Usually cameras are used as input sensors, for recording.  Front end- MATLAB
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  • 19
    Constrained Ellipse Fitting

    Constrained Ellipse Fitting

    MATLAB Code for Constrained Ellipse Fitting with Center on a Line

    The provided Matlab code allows for fitting an ellipse to given data points with the additional prior knowledge that the center of the ellipse is located on a given line. The usage of this constraint in a new global convergent one-dimensional search problem ("Tunneling") improves the fitting accuracy compared to other ellipse fitting methods. You can find more details on the theoretical background of the presented algorithm here: http://doi.org/10.1007/s10851-015-0584-x If you use the code please cite our paper: Waibel, P; Matthes, J.; Gröll, L; Constrained Ellipse Fitting with Center on a Line; Journal of Mathematical Imaging and Vision; November 2015, Volume 53, Issue 3, pp 364-382
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  • 20

    JAABA

    The Janelia Automated Animal Behavior Annotator

    The Janelia Automatic Animal Behavior Annotator (JAABA) is a machine learning-based system that enables researchers to automatically compute interpretable, quantitative statistics describing video of behaving animals. Through our system, users encode their intuition about the structure of behavior by labeling the behavior of the animal, e.g. walking, grooming, or following, in a small set of video frames. JAABA uses machine learning techniques to convert these manual labels into behavior...
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    Downloads: 12 This Week
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  • 21

    ObjectDetector

    Car Detection,Face Detectiom,Object Detection

    Machine learning: This project is used for training new object like Car,Motor Cycle and so on and we use this model(xml file) for detecting in images.In this project we use viola jones algorithm.
    Downloads: 0 This Week
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  • 22

    mAPV

    modified Asymmetric Pseudo-Voigt Model

    A new peak detection algorithm for MALDI mass spectrometry data based on a modified Asymmetric Pseudo-Voigt model
    Downloads: 0 This Week
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  • 23

    cusAPV

    customized Asymmetric Pseudo-Voigt Model

    A new peak detection algorithm for MALDI mass spectrometry data based on a customized Asymmetric Pseudo-Voigt model
    Downloads: 0 This Week
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  • 24

    Java CoreWars Evolver

    A Java based, pMars compatible, CoreWars simulator with GA

    A Java based, pMars compatible, CoreWars simulator with Genetic Algorithm warrior evolver functionality. Java 8 is needed. See [Wiki:Tutorial]
    Downloads: 0 This Week
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  • 25

    MatlabSimulink2CPP

    Demo of Simulink to C++ C or HDL FGA for HFT potential

    Video and files download for Visual trading idea to C++ or FPGA HFT Meetup File download sample: test model (Matlab 2014b with Visual Studio 2013 C++ project generated) Powerpoint MATLAB SIMULINK http://quantlabs.net/blog/2015/04/video-and-files-download-for-visual-trading-idea-to-c-or-fpga-hft-meetup/
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