Showing 78 open source projects for "genetic algorithm and fortran"

View related business solutions
  • Enterprise-grade ITSM, for every business Icon
    Enterprise-grade ITSM, for every business

    Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity.

    Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
    Try it Free
  • Crowdtesting That Delivers | Testeum Icon
    Crowdtesting That Delivers | Testeum

    Unfixed bugs delaying your launch? Test with real users globally – check it out for free, results in days.

    Testeum connects your software, app, or website to a worldwide network of testers, delivering detailed feedback in under 48 hours. Ensure functionality and refine UX on real devices, all at a fraction of traditional costs. Trusted by startups and enterprises alike, our platform streamlines quality assurance with actionable insights.
    Click to perfect your product now.
  • 1
    PlatEMO

    PlatEMO

    Evolutionary multi-objective optimization platform

    Evolutionary multi-objective optimization platform. PlatEMO consists of a number of MATLAB functions without using any other libraries. Any machines able to run MATLAB can use PlatEMO regardless of the operating system. PlatEMO includes more than ninety existing popular MOEAs, including genetic algorithm, differential evolution, particle swarm optimization, memetic algorithm, estimation of distribution algorithm, and surrogate model-based algorithm. Most of them are representative algorithms...
    Downloads: 5 This Week
    Last Update:
    See Project
  • 2
    GeneticSharp

    GeneticSharp

    GeneticSharp is a fast, extensible, multi-platform and multithreading

    GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs). Can be used in any kind of .NET 6, .NET Standard and .NET Framework apps, like ASP .NET MVC, ASP .NET Core, Blazor, Web Forms, UWP, Windows Forms, GTK#, Xamarin, MAUI and Unity3D games. GeneticSharp and extensions (TSP, AutoConfig, Bitmap equality, Equality equation, Equation solver, Function builder, etc). A Blazor...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    [OFFICIAL] tinyfiledialogs C C++ v3.19.3

    [OFFICIAL] tinyfiledialogs C C++ v3.19.3

    inputbox password WIN OSX GTK QT Console VCPKG C# Lua R Fortran Pascal

    ... ASCII UTF-8 - applescript kdialog zenity … ° SSH console / X forwarding / waypipe Wayland ° the dialogs can be forced into console mode ° curses dialogs via Dialog.exe/Dialog (disabled by default) C89/C18 & C++98/C++23 compliant VisualStudio MinGW GCC Clang TinyCC IntelCC OWCC BCC SunCC on Windows Mac Linux Bsd Solaris Minix Raspbian Flatpak bindings: VCPKG C# R Lua Rust Haskell Java AllegroBasic Fortran Pascal D JavaScript Kotlin click tab 'Files' for prototypes
    Leader badge
    Downloads: 115 This Week
    Last Update:
    See Project
  • 4
    pgapack, the parallel genetic algorithm library is a powerfull genetic algorithm library by D. Levine, Mathematics and Computer Science Division Argonne National Laboratory. The library is written in C. PGAPy wraps this library for use with Python.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Test your software product anywhere in the world Icon
    Test your software product anywhere in the world

    Get feedback from real people across 190+ countries with the devices, environments, and payment instruments you need for your perfect test.

    Global App Testing is a managed pool of freelancers used by Google, Meta, Microsoft, and other world-beating software companies.
    Try us today.
  • 5
    Evolutionary Computation Framework

    Evolutionary Computation Framework

    C++ framework for application of any type of evolutionary computation.

    ECF is a framework intended for application of any type of evolutionary computation (GA/GP, DE, Clonalg, ES, PSO, ABC, GAn, local search...). It offers simplicity for the end-user (parameterless usage, tutorial) and customization for experienced EC practicioners.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 6
    Sudoku Maker is a generator for Sudoku number puzzles. It uses a genetic algorithm internally, so it can serve as an introduction to genetic algorithms. The generated Sudokus are usually very hard to solve -- good for getting rid of a Sudoku addiction.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 7

    LR Parser and Lexer Generators: Fortran

    LR parser generator and lexer generator for use in Fortran

    The generator for LR parsers uses Pager's method, augmented with Tom Pennello's Forward Move Algorithm for error recovery. The grammar specifies identifiers for nodes in the abstract syntax tree, and the identifiers for tokens. It generates Fortran declarations for tree node identifiers and named constants that represent the PDA. The lexer generator accepts regular expressions and generates a DFA. It generates Fortran declarations for character classes, recognized objects, named constants...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 8
    The ASCO project aims to bring circuit optimization capabilities to existing SPICE simulators using a high-performance parallel differential evolution (DE) optimization algorithm. It supports Eldo, HSPICE, LTspice, Spectre, and Qucs.
    Leader badge
    Downloads: 19 This Week
    Last Update:
    See Project
  • 9
    Jenetics: Java Genetic Algorithm Library
    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. In contrast...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Build Securely on AWS with Proven Frameworks Icon
    Build Securely on AWS with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

    Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
    Download Now
  • 10

    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...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 11
    Genetic Algorithm File Fitter, GAFFitter for short, is a tool based on a genetic algorithm (GA) that tries to fit a collection of items, such as files/directories, into as few as possible volumes of a specific size (e.g. CDs or DVDs).
    Downloads: 2 This Week
    Last Update:
    See Project
  • 12

    Point Symmetry Clustering

    Point Symmetry Clustering Approach Using Differential Evolution

    Implementation of Point Symmetry-based Automatic Clustering Approach Using Differential Evolution Using bug fixed KD tree nearest neighbor search from https://github.com/CristianDallos/kmeansclustering. (It is also modified to search for multiple nearest points instead only for one.) Used those academic works for algorithm implementation: http://cs.cug.edu.cn/teacherweb/gwy/Publication/ISICA-09.pdf http://www.isical.ac.in/~sanghami/ieeetkde_cameraready.pdf http...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 13
    Solid Python

    Solid Python

    A comprehensive gradient-free optimization framework written in Python

    Solid is a Python framework for gradient-free optimization. It contains basic versions of many of the most common optimization algorithms that do not require the calculation of gradients, and allows for very rapid development using them.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 14
    This site hosts the source code for C++ version of the Broker for SBW, NOM module, advanced simulation suite, analysis applications and model editors.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 15
    Swift AI

    Swift AI

    The Swift machine learning library

    Swift AI is a high-performance deep learning library written entirely in Swift. We currently offer support for all Apple platforms, with Linux support coming soon. Swift AI includes a collection of common tools used for artificial intelligence and scientific applications. A flexible, fully-connected neural network with support for deep learning. Optimized specifically for Apple hardware, using advanced parallel processing techniques. We've created some example projects to demonstrate the...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 16
    GFP- GAKNN
    GAKNN is a data mining software for gene annotation data. GAKNN is built with k- Nearest Neighbour algorithm optimized by the genetic algorithm. Gene annotation datasets saved under .csv or .arff formats with Gene Ontology or FunCat categorization can use GAKNN to predict gene functions.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 17
    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
    Downloads: 0 This Week
    Last Update:
    See Project
  • 18
    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...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 19

    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
    Last Update:
    See Project
  • 20

    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). The code was written in C++, using MS Visual Studio 6.0...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 21
    Cyberphantom Alfa Colony
    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.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 22
    Bin Packing with Genectic Algorithm

    Bin Packing with Genectic Algorithm

    Bin Packing problem solved using Genectic Algorithm

    This project contains a solution for a Bin Packing problem solved using Genectic Algorithms. The code in the project was created as a solution for a problem in a combinatorial optimization class at the Univeridade Federal do Rio Grande do Sul (UFRGS - Brasil) in 2007.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 23
    OpenAIL

    OpenAIL

    Open Artificial Intelligence Library

    [Open Artificial Intelligence Library]. This library main goal is to provide a tool box to those who want to use algorithm such as neural network or genetics Algorithm and all algorithms that are commonly within the Artificial Intelligence field.
    Downloads: 2 This Week
    Last Update:
    See Project
  • 24

    libfgen

    Library for optimization using a genetic algorithm or particle swarms

    libfgen is a library that implements an efficient and customizable genetic algorithm (GA). It also provides particle swarm optimization (PSO) functionality and an interface for real-valued function minimization or model fitting. It is written in C, but can also be compiled with a C++ compiler. Both Linux and Windows are supported.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 25
    This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution. MLP, backpropagation, recurrent, sparse, and skip-layer networks are supported.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • 2
  • 3
  • 4
  • Next
Want the latest updates on software, tech news, and AI?
Get latest updates about software, tech news, and AI from SourceForge directly in your inbox once a month.