Search Results for "binary differential evolution"
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Showing 43 open source projects for "binary differential evolution"
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PlatEMO
Evolutionary multi-objective optimization platform
...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 published in top journals after 2010. Users can select various figures to be displayed, including the Pareto front of the result, the Pareto set of the result, the true Pareto front, and the evolutionary trajectories of any performance indicator values. ... -
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React Native Module for CodePush
React Native module for CodePush
This plugin provides client-side integration for the CodePush service, allowing you to easily add a dynamic update experience to your React Native app(s). A React Native app is composed of JavaScript files and any accompanying images, which are bundled together by the packager and distributed as part of a platform-specific binary (i.e. an .ipa or .apk file). Once the app is released, updating either the JavaScript code (e.g. making bug fixes, adding new features) or image assets, requires... -
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GenX
X-Ray and Neutron Reflectivity Modeling
GenX is a scientific program to refine x-ray refelcetivity, neutron reflectivity and surface x-ray diffraction data using the differential evolution algorithm. GenX is very modular and highly extensible and can be used as a general fitting program. -
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DEEP
Differential Evolution Entirely Parallel Method
The Differential Evolution, introduced in 1995 by Storn and Price, considers the population, that is divided into branches, one per computational node. The Differential Evolution Entirely Parallel method takes into account the individual age, that is defined as the number of iterations the individual survived without changes. The introduced improvements are: (I) allow several oldest individuals to be overwritten by the same number of best ones in the population, (II) new selection rule uses several objective functions in offspring evaluation. ... -
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syre
Synchronous Reluctance (machines) - evolution
SyR-e is a Matlab/Octave package developed to design, evaluate and optimize synchronous reluctance and permanent magnet machines. To perform Finite Element Analysis (FEA) SyR-e is linked to FEMM software, and the simulation process (model creation, pre-processing, post-processing) is automatic and completely controlled from SyR-e code. For the design section, SyR-e embeds automatic procedures based on design equations, minimal FEA simulations or multi-objective optimization algorithm... -
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evTools
Tools to analyse output from the stellar-evolution code ev/STARS/TWIN
The evTools package provides tools to manipulate and display output from the binary stellar-evolution code ev (also known as STARS and TWIN). -
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DAR - Disk ARchive
For full, incremental, compressed and encrypted backups or archives
DAR is a command-line backup and archiving tool that uses selective compression (not compressing already compressed files), strong encryption, may split an archive in different files of given size and provides on-fly hashing, supports differential backup with or without binary delta, ftp and sftp protocols to remote cloud storage Archive internal's catalog, allows very quick restoration even a single file from a huge, eventually sliced, compressed, encrypted archive eventually located on a remote cloud storage, by only reading/fetching the necessary data to perform the operation. ... -
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Fosite - advection problem solver
numerical simulation code for solving transport equations in 1D/2D/3D
Fosite is a generic framework for the numerical solution of hyperbolic conservation laws in generalized orthogonal coordinates. Its main purpose is the simulation of compressible flows in accretion disks. The underlying numerical solution method belongs to the family of unsplit conservative finite volume TVD schemes. The method is 2nd order accurate in space and uses high order Runge-Kutta and multistep schemes for time evolution. In addition to the pure advection code several source terms... -
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GiNaCDE
A software for solving Nonlinear Differential Equations
GiNaCDE is free and open-source software that solves entirely automatically linear or nonlinear differential equations. In searching traveling wave solutions, this application converts the Nonlinear Partial Differential Equations (NLPDEs) into Nonlinear Ordinary Differential Equations (NLODEs) and gives the exact solutions when they exist. The Differential Equations are solved by F-expansion and first integral methods. In this project, we provide windows binary file for GiNaCDE. ... -
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XSIBackup-DC
VMWare ESXi Virtual Machine Backup, runs in free ESXi
©XSIBackup-DC is a C binary that runs in the ©ESXi shell and behaves as a backup and replica service. It follows the same principles as our previous ©XSIBackup editions, that is: a utility that runs in the hypervisor command line and accepts arguments and values stating which VMs to backup and where to copy them. It accepts local and remote SSH paths, thus you can backup and replicate VMs to local datastores or to remote repositories in any additional ©ESXi or Linux server. Download... -
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Evolutionary.jl
Evolutionary & genetic algorithms for Julia
A Julia package for evolutionary & genetic algorithms. The package can be installed with the Julia package manager. -
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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.
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diffpak
A huge files block differential compressor
A differential compresor (or a binary diff) for huge files. Unlike other tools, e.g. xdelta3, it searches for matching data through the whole source file, even if it weights several gigabytes, while using much less memory (with default configuration approx 25x less than the size of the source file). Output files are not compressed, so you can use any compressor you like with great results. -
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ClimateMachine.jl
Earth System Model that automatically learns from data
The ClimateMachine is a software package that models the evolution of the Earth system over weeks to centuries. The ClimateMachine solves three-dimensional partial differential equations for the distributions of water, momentum, energy, and tracers such as carbon in the atmosphere, oceans, and on land. The ClimateMachine will harness a wide range of Earth observations and data generated computationally to predict the evolution of Earth’s climate and features such as droughts, rainfall extremes, and high-impact storms. -
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American Fuzzy Lop
American fuzzy lop - a security-oriented fuzzer
AFL (American Fuzzy Lop) is a widely used graybox fuzzer that discovers bugs by mutating inputs and steering execution using lightweight instrumentation. Instead of random mutations alone, it uses coverage feedback to evolve input corpora, pushing programs into deeper and more interesting code paths. Its workflow emphasizes quick start: point it at a target binary with compile-time instrumentation (or use QEMU-based mode when recompilation isn’t possible), seed it with a small corpus, and... -
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RELEASE NOTE: Get raxmlGUI 2.0 at the NEW PROJECT LOCATION: https://antonellilab.github.io/raxmlGUI/ raxmlGUI is a graphical user interface to RAxML, one of the most popular and widely used software for phylogenetic inference using maximum likelihood. A userfriendly graphical front-end for phylogenetic analyses using RAxML (Stamatakis, 2006). Please cite: Silvestro, Michalak (2012) - raxmlGUI: a graphical front-end for RAxML. Organisms Diversity and Evolution 12, 335-337. DOI:...
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GDINA Package for Cognitively Diagnostic
Package for Cognitively Diagnostic Analyses
Estimating G-DINA model and a variety of widely-used models subsumed by the G-DINA model, including the DINA model, DINO model, additive-CDM (A-CDM), linear logistic model (LLM), reduced reparametrized unified model (RRUM), multiple-strategy DINA model for dichotomous responses. Estimating models within the G-DINA model framework using user-specified design matrix and link functions. Estimating Bugs-DINA, DINO and G-DINA models for dichotomous responses. Estimating sequential G-DINA model... -
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OpenDino
Open Source Java platform for Optimization, DoE, 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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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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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://www.softcomputing.net/smca-paper1.pdf 1. ... -
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IQM-Plugin-PPI
PPI Index
This is an IQM plugin to compute the PPI index for binary digital images. This index represents the compactness of an object. PPI is computed with the FFI index and the Lacunarity using the ToW algorithm: PPI = FFI^(Ltw) For FFI, please see: https://sourceforge.net/projects/iqm-plugin-ffi/ Andronache etal. Fractal analysis for studying the evolution of forests, Chaos, Solitons & Fractals, 2016, Vol 91, 310-318. -
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IQM-Plugin-FFI
FFI - fractal fragmentation index
This is an IQM plugin to compute the FFI index for binary digital images. This index represents a value for the compactness of an object. FFI is the difference between fractal dimensions of the area and its boundary. Fractal dimensions are computed with the popular Box counting method or the Pyramid method. Details can be found in: Andronache etal. Fractal analysis for studying the evolution of forests, Chaos, Solitons & Fractals, 2016, Vol 91, 310-318. -
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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 meta-heuristic optimization algorithms. For this purpose, Opt4J relies on a module-based implementation and offers a graphical user interface for the configuration as well as a visualization of the optimization process. -
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DE-HEoC
DE-based Weight Optimisation for Heterogeneous Ensemble
We propose the use of Differential Evolution algorithm for the weight adjustment of base classifiers used in weighted voting heterogeneous ensemble of classifier. Average Matthews Correlation Coefficient (MCC) score, calculated over 10-fold cross-validation, has been used as the measure of quality of an ensemble. DE/rand/1/bin algorithm has been utilised to maximize the average MCC score calculated using 10-fold cross-validation on training dataset. -
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