Search Results for "genetic algorithm java" - Page 4
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Showing 734 open source projects for "genetic algorithm java"
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uwindsortablut
Viking chess (tablut) game with CPU player
A full implementation of Tablut(aka Viking chess). Supports human vs human and human vs CPU games. Runs as Java Swing application (Java 8 Required). run the game from dist folder with java -jar tablut.jar Implemented By University of Windsor computer science students during Introduction to Artificial Intelligence course taught by Professor Kalyani Selvarajah. Please read the White Paper pdf for full game rules and description of CPU player artificial intelligence. ... -
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AES Everywhere
Cross Language AES 256 Encryption Library
AES Everywhere is Cross Language Encryption Library that provides the ability to encrypt and decrypt data using a single algorithm in different programming languages and on different platforms. This is an implementation of the AES algorithm, specifically CBC mode, with 256-bit key length and PKCS7 padding. It implements OpenSSL-compatible cryptography with randomly generated salt. -
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weka-MTreeClusterer
Flat clustering algorithm based on MTrees implemented for weka.
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IP-Chat
UDP based desktop chatting app which supports AES-256 bit encryption.
Simple Encrypted chat application built with Java. It uses AES-256 bit block cipher algorithm. -
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Javaluator
A java infix evaluator based on "Shunting Yard" algorithm.
Evaluate an arithmetic expression is as simple as: Double result = new DoubleEvaluator().evaluate("(e^3-1)*sin(pi/4)*ln(pi^2)"). But Javaluator provides you with much more ... Key features: - Functions support, including variable argument count. - Constants support: e, pi, etc ... - Variables support: Example sin(x) for x = pi/4. - Highly configurable: Reduce the built-in operator or function sets, define your own brackets. - Extensible: Define your own grammar, or extends the... -
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OpenDino
Open Source Java platform for Optimization, DoE, and Learning.
OpenDino is an open source Java platform for optimization, design of experiment and learning. It provides a graphical user interface (GUI) and a platform which simplifies integration of new algorithms as "Modules". Implemented Modules Evolutionary Algorithms: - CMA-ES - (1+1)-ES - Differential Evolution Deterministic optimization algorithm: - SIMPLEX Learning: - a simple Artificial Neural Net Optimization problems: - test functions - interface for executing other programs (solvers) - parallel execution of problems - distributed execution of problems via socket connection between computers Others: - data storage - data analyser and viewer -
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Xoptfoil
Airfoil optimization with Xfoil
Airfoil optimization using the highly-regarded Xfoil engine for aerodynamic calculations. Starting with a seed airfoil, Xoptfoil uses particle swarm, genetic algorithm and direct search methodologies to perturb the geometry and maximize performance. The user selects a number of operating points over which to optimize, desired constraints, and the optimizer does the rest. -
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The source code has been migrated and is now hosted on Github: https://github.com/jenetics/jenetics Jenetics is an advanced Genetic Algorithm, Evolutionary Algorithm and Genetic Programming library, respectively, written in modern day Java. It is designed with a clear separation of the several algorithm concepts, e. g. Gene, Chromosome, Genotype, Phenotype, Population and fitness Function. Jenetics allows you to minimize or maximize the given fitness function without tweaking it. ...
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DACO-algorithm
A novel transcription factor complex prediction algorithm.
Eukaryotic gene expression is controlled through molecular logic circuits that combine regulatory signals of many different factors. Complexation of transcription factors and other regulatory proteins is a prevailing and highly conserved mechanism of signal integration within critical regulatory pathways and enable to infer controlled genes as well as the exerted regulatory mechanism. We developed DACO (domain-aware cohesiveness optimization), a novel algorithm that combines... -
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Bucket Fill Algorithm
Simple Bucket Fill Demo
This is Simple java implementation of bucket fill algorithm .Copy the code and Run in Console or IDE. Draw your shapes and click in the middle to fill the shapes. Precombiled jar for Windows OS https://sourceforge.net/projects/bucket-fill/files/G_BucketFill.jar/download -
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sijinn
SImple Java Implementation of Neural Network
Alfa version - work in progress. Perseptron network structure. Can be saved in xml format. Training strategies: - Gradient Descent (Batch, Stochastic) - Genetic Breeding Training algorithms: - BPROP (back propagation) - QPROP (quick propagation) - RPROP (resilient propagation) - GENE (genetic neural) Demo: https://sijinn.herokuapp.com/ http://sijinn.appspot.com/network GitHub:... -
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Venice is a stock market trading programme that supports portfolio management, charting, technical analysis, paper trading and genetic programming. Venice runs in a graphical user interface with online help and has full documentation.
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TEESer
Tool for Engineering Emergent Selforganizing bEhavioR
...Designers can continue to use their domain tools such as favorable simulator and by pluging it into the framework can take advantage of distributed simulations in the grid, various analyzers, optimizers (particle swarm optimization, genetic algorithms, ...). See Wiki pages for more information. -
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JBotSim is a multipurpose dynamic network simulator that allows to quickly prototype a distributed algorithm and test its behavior on a set of static or mobile nodes. If mobile, the nodes can be controlled by the mouse or by program.
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inGAP-family provides an efficient and effective framework to discover, filter and visualize DNA polymorphisms and structural variants from alignment of short reads. Applying this method on polymorphism detection on real datasets shows that elimination of artificial variants greatly facilitates the precise identification of meiotic recombination points, recognizing causal mutations in mutant genomes or QTL loci. In addition, inGAP-family provides user-friendly graphical interface for...
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ATTENTION: For more info and latest version, refer to https://github.com/estigma88/jdhtuq. jDHTUQ is a peer-to-peer DHT system based in Chord algorithm, but built like API to generalize the implementation of peer-to-peer DHT systems. jDHTUQ have two fundamental services , put and get of resource.
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Formatomatic
Population Genetic File Creator and Converter
Formatomatic creates infiles for several population genetic analysis programs from csv, genepop or convert* (excel) files. It only handles diploid microsatellite data for now. I may eventually include other read or write formats (email me if there is some functionality you need and I will work on it if I have time). This program was initially developed for in-lab use to format microsatellite data extracted from a custom database system. I have made it available in case it is useful to... -
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JCSprout
Basic, concurrent algorithm
JCSprout is a curated learning path for Java engineers that mixes concise notes, diagrams, and runnable examples to cover core computer science and JVM topics. It walks readers through data structures and algorithms, networking fundamentals, Java concurrency, JVM memory model and GC, and common interview problem patterns. The repository emphasizes understanding over memorization, linking conceptual summaries with small code artifacts that can be compiled and profiled. It also highlights best... -
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JSiteDescriptor
Binding site descriptor generation for SVM based classification.
A set of java programs that extract coordinate and chemical information from PDB files. The binding site regions are extracted using grid based scheme. For binding site, spatio-chemical descriptor is generated based on PocketMatch algorithm of Dr. Kalidas (author of this project too). -
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Easy Machine Learning
Easy Machine Learning is a general-purpose dataflow-based system
Machine learning algorithms have become the key components in many big data applications. However, the full potential of machine learning is still far from being realized because using machine learning algorithms is hard, especially on distributed platforms such as Hadoop and Spark. The key barriers come from not only the implementation of the algorithms themselves but also the processing for applying them to real applications which often involve multiple steps and different algorithms. Our... -
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TimescapeGlobal
a space-time interpolation geostatistical tool
This software is a time-aware geostatistical tool. Including time variability adds further issues to the already complicated field of geostatistical interpolation. On the other hand, most of the distributions of variables used in Earth and environmental sciences show patterns of change over time, not only in space. This tool is a free, open-source software, based on a generalization of the Inverse Distance Weighted algorithm. It outputs three-dimensional, layered discrete models from which... -
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popt4jlib
Parallel Optimization Library for Java
popt4jlib is an open-source parallel optimization library for the Java programming language supporting both shared memory and distributed message passing models. Implements a number of meta-heuristic algorithms for Non-Linear Programming, including Genetic Algorithms, Differential Evolution, Evolutionary Algorithms, Simulated Annealing, Particle Swarm Optimization, Firefly Algorithm, Monte-Carlo Search, Local Search algorithms, Gradient-Descent-based algorithms, as well as some well-known network flow and other graph algorithms. ... -
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The main purpose of CombiTagger is to read files generated by individual PoS taggers and use them to develop and evaluate combined taggers according to a given combination algorithm. http://aaai.org/ocs/index.php/FLAIRS/2009/paper/download/67/296
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DGRLVQ
Dynamic Generalized Relevance Learning Vector Quantization
Some of the usual problems for Learning vector quantization (LVQ) based methods are that one cannot optimally guess about the number of prototypes required for initialization for multimodal data structures i.e.these algorithms are very sensitive to initialization of prototypes and one has to pre define the optimal number of prototypes before running the algorithm. If a prototype, for some reasons, is ‘outside’ the cluster which it should represent and if there are points of a different... -
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Genetic Oversampling Weka Plugin
A Weka Plugin that uses a Genetic Algorithm for Data Oversampling
Weka genetic algorithm filter plugin to generate synthetic instances. This Weka Plugin implementation uses a Genetic Algorithm to create new synthetic instances to solve the imbalanced dataset problem. See my master thesis available for download, for further details.
