Search Results for "genetic algorithm java" - Page 9
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Showing 908 open source projects for "genetic algorithm java"
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Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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AESA
All-purpose Encryption and Security Adaptation
Starting as a personal study project, I have decided to share this security project. For now, it is a JAVA program that can be used to encrypt and decrypt simple file content (ie files), possibly later evolving into a utility with user interface and/or a library -
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GeneticThesaurus
Annotation of genetic variants in repetitive regions
GeneticThesaurus enables analysis of genetic variation in repetitive regions. See project wiki for details. -
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jasuso
Sudoku solver in Java
This is a basic Sudoko solver written in Java using JavaFX and FXML. The solver uses a basic recursive backtrack algorithm. -
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Simple File Manager
A simple file manager especially for flash disks
It is a simple software implemented with Java. The running environment is Java SE8, with some features of Javafx to improve the UI appearance. -
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diggit
R package for DIGGIT algorithm
DIGGIT identify genetic variants associated with drivers of specific physiopathologic states. I computes the statistical association between the presence of genetic variants (CNV or SNP) and the activity of proteins driving physiologic or pathologic phenotype. It requires large gene expression and genetic variants datasets and depends on context-specific regulatory networks including transcriptional interactomes (usually reverse engineered by the ARACNe algorithm) and post-translational interactomes (usually generated by the MINDy algorithm). ... -
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HaploView is a Java based tool for use by biologists in the study of genetic haplotype data. It provides a quick, easy interface to many common tasks involved in such analyses. Please go to the homepage below for the latest version!
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gametes
Generate complex SNP models and heterogeneous datasets
Genetic Architecture Model Emulator for Testing and Evaluating Software (GAMETES) is an algorithm for the generation of complex single nucleotide polymorphism (SNP) models for simulated association studies. GAMETES is designed to generate epistatic models which we refer to as pure and strict, that constitute the worst-case in terms of detecting disease associations, since such associations may only be observed if all n-loci are included in the disease model. -
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sWangTiler
A java implementation that generates wang tiles from any input image.
...This implementation is based on the strict wang tile algorithm as proposed by Xinyu Zhang and Young J. Kim in "Efficient Texture Synthesis Using Strict Wang Tiles". In order to calculate the lowest cost path between any edge- and sample image an implementation of Dijkstra's algorithm is used which was found in the java graph library 'JGraphT'. Credits to all mentioned parties and to http://www.texturemate.com/. -
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CUDAlign
CUDAlign is a tool that aligns huge DNA sequences in CUDA capable GPUs
CUDAlign is a tool able to align pairwise DNA sequences of unrestricted size in CUDA GPUs, using the Smith-Waterman algorithm combined with Myers-Miller. It produces the optimal alignment of 1 million base sequences in 45 seconds using a GTX 560 Ti. Many optimizations are being developed for this software. Look at the following papers for detailed information: [1] Edans Sandes, Alba Melo. Retrieving Smith-Waterman Alignments with Optimizations for Megabase Biological Sequences using GPU.... -
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Glycosylation Microviewer
An application create, simulate and adjust N-linked glycosylation.
...The model used in the application is based on two significant papers: 1.1997 Pablo Umana, James E.Bailey A Mathematical Model of N-linked Glycoform Biosynthesis. 2.2005 Frederick J.Krambeck, Michael J.Betenbaugh A Mathematical Model of N-linked Glycosylation. The application allow to simulate the network in dynamic form with various ODE solvers(Euler, Runge-Kutta etc). Genetic Algorithm is used to adjust the kinetic parameters of Michaelis-Menten equations in glycosylation reaction network. A dynamic plot is supplied to show the value of mole amout and mole fraction of various glycoform. Thanks to Alexey Balakin and Alessandro Presta. Alexey Balakin supply mathgl(https://sourceforge.net/projects/mathgl) that make the implementation of dynamic plot in this application easily. ... -
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Cyberphantom Alfa Colony
AI new tipe
This is an experimental project whose main objective is the creation of artificial intelligence (AI) new tipe. At the core of this idea is the use of special genetic algorithm that emulates the single-celled organism. The colony of such cybernetic organisms can give rise to a "reasonable" network that have a huge intellect and computing power. -
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Neural Libs
Neural network library for developers
This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network. -
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Stemmer Gujarati
Offline stemmer for Gujarati , which is one of 22 Indian languages.
This is a Gujarati stemmer in Java. Stemming is a process in which affixes are removed form the root word (stem). It relates morphological variant words to corresponding common root. For example "પ્રતિઉપયોગી" is word which has stem " ઉપયોગ". Stemmers are language specific tools. The design of a stemming algorithm requires a significant level of linguistic expertise. -
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quickGA-m
A quick (messy?) genetic algorithm to solve TSP
A quick genetic algorithm to solve TSP scenarios. Written in Matlab. Circa June 2012. -
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KWANSO
MANAGING ROAD TRAFFIC CONGESTION VIA TRANSPORT TELEMATICS AND MOBILE
...The application was developed in Java programming language using Android Software development Kit (SDK). -
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Genetic Algorithms Engine - Blackjack
A genetic algortihm engine that evolves blackjack basic strategy.
This project is a genetic algorithm engine able to be reused for other projects with minimal additional programming. The genetic algorithm engine currently plays many blackjack hands for the fitness function and produces a result similar to blackjack basic strategy. To see it in action, download the zip file and run either: GABlackjack_Demo.exe (quick) or GABlackjack_Long.exe (slow, but it achieves better results). -
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EurekaOptima is a framework for optimization containing the implementation of several algorithms like Genetic Algorithm (GA), Clonal Selection Algorithm (CLONALG), Grammatical Evolution (GE), Differential Evolution (DE), and Evolution Strategy (ES).
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ESTReMo
An evolutionary simulator of transcription regulatory networks
ESTReMo is a genetic algorithm-based simulator to explore the evolution of transcription factors and their binding motifs on realistic genomic backgrounds. -
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deapheap
Deap is a doubly heap for both min and max number access.
A deap is a doubly priority queue for efficient data operations. Both insertion and deletion operations take O(log(N)) time. Access of min or max takes constant time. It can be useful when both min and max are needed in the queue. It can also be used in situations where the number of items is too large and items with low priorities can be dropped with keep memory footprint small. -
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MODLEM
rule-based, WEKA compatible, Machine Learning algorithm
This project is a WEKA (Waikato Environment for Knowledge Analysis) compatible implementation of MODLEM - a Machine Learning algorithm which induces minimum set of rules. These rules can be adopted as a classifier (in terms of ML). It is a sequential covering algorithm, which was invented to cope with numeric data without discretization. Actually the nominal and numeric attributes are treated in the same way: attribute's space is being searched to find the best rule condition during rule... -
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Grammatical Optimization
A java based framework for grammatical evolution.
This project is a result for my curiosity for how grammatical evolution (GE) works. Eventually, I made this wrapper for GE that should work with any numerical optimization algorithm. So the idea behind GE is that it takes production rules for computer programs using a context free grammar in Backus Naur form. The production rules can be used to evolve computer programs by running an algorithm such as a genetic algorithm or a particle swarm optimizer in the background. -
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Intelligent Keyword Miner
Intelligent SEO keyword miner and predicing tool
THIS IS A NETBEANS 8.02 PROJECT ENGLISH ONLY This program was made to help me with the patent research. It simply generates the search keywords, based on your upvotes or a downvotes of the input parameters. It can accept a text or URL (text takes a prescedence over the URL). If you input URL, it goes to a page, and learns its text from HTML format. This program is intelligent as it predicts what you may want to search next, based on your personal trends. After searching the... -
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Cenobi
cost estimation and management accounting, using neural networks
Cenobi is designed for management accountants, not (only) for statisticians and data mining experts. Carefully arranged default settings make sure you can concentrate on Cenobi's many accounting features rather than worrying about setting up artificial neural networks or genetic algorithms, which are the main machine learning tools under Cenobi's hood. Cenobi's main benefits are: - ease of use - Utilizing artificial neural networks to estimate cost relationships, Cenobi is able to... -
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Java Beagle
A symbolic regression platform in java
Java beagle is my gratitude for genetic programming. It is based on beagle puppy, by open-beagle project. It is mainly designed for symbolic regression tasks. It implements a number of other algorithms for more efficient symbolic regression. These include lexicographic parsimony pressure, linear scaling and subtree caching. -
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fPotencia
Power flow library in C++
fPotencia is the fruit of free time and passion for power systems simulation. After observing the lack of ready-to-implement libraries for power system analisys, and that the existing ones focus on command line workflow, I decided myself to start a project to fill the gap. Since Power system simulations have started needing to be executed in parallel, the old C-like designs are outdated; modular design is now needed to launch many simulations at the same time based on a base...
