Search Results for "evolutionary algorithm"
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Showing 21 open source projects for "evolutionary algorithm"
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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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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. A fast parallel implementation of the network simplex method, and some full-fledged parallel/distributed MIP solvers will be added in the next version. ... -
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faif
C++ header only library with AI and bioinformatics algorithms
C++ header only library, small and fast; Naive Bayesian Classifier, Decision Tree Classifier (ID3), DNA/RNA nucleotide second structure predictor, timeseries management, timeseries prediction, generic Evolutionary Algorithm, generic Hill Climbing algorithm and others. -
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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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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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gannu
Java API and tools for performing NLP and other AI tasks
Java API and tools for performing a wide range of AI tasks such as: word sense disambiguation (released), optimization (5 Evolutionary Algorithms Implemented ETA February 2014), opinion mining (ETA November 2014) and text wikification (ETA July 2014). Gannu includes some graphical interfaces for scientific purposes. When using Gannu please cite: *Jiménez, F. V., Gelbukh, A. F. & Sidorov, G. (2013). Simple Window Selection Strategies for the Simplified Lesk Algorithm for Word Sense Disambiguation.. ... -
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Java Evolutionary Computation Library
As of 2012-12-18, this project may now be found at Google Code.
As of 2012-12-18, this project may now be found at http://http://code.google.com/p/paba JECO is a Evolutionary Computation Library deveoloped in Java. It includes a variety of evolutionary optimization techniques such as genetic algorithm, genetic programming, evolutionary mapping methods, particle swarm optimization, ant colonies, etc. -
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Darwin 2: Java Framework for Evolutionary Computation (genetic algorithm, GA). A true framework with out-of-the-box functionality and extensibility of all classes. Interface-based pattern with dependency-injection to configure components.
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Bouc-Wen-Baber-Noori model of hysteresis
Compute parameters of the Bouc-Wen-Baber-Noori model of hysteresis
This toolbox computes the parameters of the Bouc–Wen–Baber–Noori hysteresis model using Multiobjective optimization evolutionary algorithms (MOBEAs). The toolbox uses the NSGA − II algorithm, which is an elitist non–dominated sorting EA. The toolbox uses the original NSGA-II algorithm developed by Prof. Kalyanmoy Deb, which can be download from: http://www.iitk.ac.in/kangal/codes.shtml Prof. Deb allowed me to use and post this toolbox. For further information about the toolbox read the documentation and the following papers: - Kalyanmoy Deb, Sameer Agrawal, Amrit Pratap, T Meyarivan. ... -
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Clusterfit
Show stellar evolution and open clusters in a color-magnitude diagram
...Determining these parameters can be done automatically with a global search algorithm (more specifically a genetic algorithm). This program requires the installation of the libfgen package, also available on SourceForge. -
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Software for making Clusters of Orthologous Groups (featuring the new EdgeSearch algorithm). Latest ref: Kristensen DM, Kannan L, Coleman MK, Wolf YI, Sorokin A, Koonin EV, Mushegian A. Bioinformatics 2010.
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A unified collection of algorithms for Artificial Life. It includes evolutionary algorithms, neural networks, data mining tools, compilers, among others.
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This project is a complete cross-platform (Windows, Linux) framework for Evolutionary Computation in pure python. See the project site at http://pyevolve.sourceforge.net or the blog at http://pyevolve.sourceforge.net/wordpress
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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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LabLOVE (Life On a Virtual Environment) is an evolutionary multi-agent simulation environment. It is fast, modular and extensible. Contains the reference implementation for the gridbrain algorithm.
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A flexible programming library for evolutionary computation. Steady-state, generational and island model genetic algorithms are supported, using Darwinian, Lamarckian or Baldwinian evolution. Includes support for multiprocessor and distributed systems.
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Arlisy stands for artificial life synthesizer. It uses artificial neural networks and an evolutionary algorithm to simulate the process of life.
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FrEAK, the Free Evolutionary Algorithm Kit, is a toolkit to design and analyze evolutionary algorithms, written in Java.
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aVolve is an evolutionary/genetic algorithm designed to evolve single-cell organisms in a micro ecosystem. It currently uses the JGAP Genetic algorithm, but does include a primitive genetic algorithm written in Python.
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The SBMLevolver is an evolutionary algorithm package that creates SBML models with user-specified properties and behaviour from a given set of building blocks. Applications lie in network reconstruction and synthetic biology.
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