Search Results for "genetic algorithm java" - Page 4
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Showing 186 open source projects for "genetic algorithm java"
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Pronounce is an app for Android which uses speech recognition to let you dictate speeches. It then uses a checking algorithm to see how well you did and update your score. You play as several politicians and activists over various eras.
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Awakener aims to provide a Java library for solving practical, real world optimisation problems by means of genetic algorithms (turnkey algorithms for >= 90% of industry problems). Awakener extends Sleepwalker with specific algorithms.
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Sleepwalker aims to provide a highly abstract, universal, reusable, extensible Java-based genetic algorithms framework which can be used as a basis for modelling and programming virtually any practical optimisation problem.
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EZvolve Foundation Classes
Data types and utility classes for use with evolutionary algorithms.
EZvolve Foundation Classes is a set of data types and utility classes for use with evolutionary algorithms. Currently implemented support for bit string encoding, populations, fitnesses, fitness functions, probabilities, and probability vectors. -
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breve is a free, open-source 3D multi-agent simulation package designed for simulating decentralized systems and artificial life.
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Cambrian is a set of optimizing libraries design to optimize multi and mono objective functions. Cambrian is extension of Genetikos application developed to use genetic algorithms.
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Toroid experiment is a try to create a model of life where animals evolving driving by genetic algorithms and each animal has it's own brain which is a neural network. For detailed description look at project page http://toroid-world.sourceforge.net
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superseded by SgpDec http://sgpdec.sf.net Java implementation of the holonomy algorithm for the algebraic hierarchical decomposition of finite state automata.
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BorderFlow implements a general-purpose graph clustering algorithm. It maximizes the inner to outer flow ratio from the border of each cluster to the rest of the graph.
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CEGA is a highly extendable layout plugin for Cytoscape based on an Evolutionary Algorithm. In contrast to other layout algorithms, CEGA lets users decide which features are important for the visualization of their graphs.
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This easy to run and change program for developers, it contains several evolutionary based strategies allowing you try among some function samples
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Optex Analyzer is a software to analyze and compare algorithms to solve approximately optimization problems. It has a GUI that allows select a set of input files containing raw algorithm results. The analysis is shown with tables and charts.
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Este projeto objetiva a criação de um Toolbox para utilização de algoritmos de Computação Bioinspirada. O Toobox oferece uma vasta coleção de algoritmos de ferramentas para o projeto de Algoritmos Genéticos e Redes Neurais.
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weka outlier is an implementation of outlier detection algorithms for WEKA. CODB (Class Outliers: Distance-Based) Algorithm is the first algorithm developed using WEKA framework.
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Maui is a multi-purpose automatic topic indexing algorithm. Given a document, Maui automatically identifies its topics. Depending on the task topics are tags, keywords, keyphrases, vocabulary terms, descriptors or Wikipedia titles.
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The Darwin Genetic Programming Environment is a graphical Genetic Programming Environment for the facilitation of research in Genetic Programming.
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Identification of biological species via iterational process of giving an ordered set of questions to user. The order is defined by an optimization algorithm, trying to provide the most correct prediction about the questions to ask.
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CILib is a framework for developing Computational Intelligence software in swarm intelligence, evolutionary computing, neural networks, artificial immune systems, fuzzy logic and robotics.
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GAAF is a tool for analyzing Genetic Algorithms (GA for short). It allows to check the behavior of a particular GA resolving a particular problem so one can get empirical information to decide which GA best fits problem's conditions.
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This chess program changes its strength to give the best match against you. Eventually it learns to beat you specifically through learning alogirthms. Features included transposition tables and a elementary 3-piece endgame tablebase.
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The implementation of Bee Hive @ Work algorithm that simulates the foraging behavior of honey bees in nature. The aim is to provide an extensible framework that can be used by researchers to simply create new applications of this algorithm.
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TrimGA is a lightweight genetic algorithm library written in pure Java 6.0 that can be quickly applied to most optimization problems.
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Java API for implementing any kind of Genetic Algorithm and Genetic Programming applications quickly and easily. Contains a wide range of ready-to-use GA and GP algorithms and operators to be plugged-in or extended. Includes Tutorials and Examples.
