Showing 5 open source projects for "particle swarm optimization algorithm java code"

View related business solutions
  • Attack Surface Management | Criminal IP ASM Icon
    Attack Surface Management | Criminal IP ASM

    For security operations, threat-intelligence and risk teams wanting a tool to get access to auto-monitored assets exposed to attack surfaces

    Criminal IP’s Attack Surface Management (ASM) is a threat-intelligence–driven platform that continuously discovers, inventories, and monitors every internet-connected asset associated with an organization, including shadow and forgotten resources, so teams see their true external footprint from an attacker’s perspective. The solution combines automated asset discovery with OSINT techniques, AI enrichment and advanced threat intelligence to surface exposed hosts, domains, cloud services, IoT endpoints and other Internet-facing vectors, capture evidence (screenshots and metadata), and correlate findings to known exploitability and attacker tradecraft. ASM prioritizes exposures by business context and risk, highlights vulnerable components and misconfigurations, and provides real-time alerts and dashboards to speed investigation and remediation.
    Learn More
  • Secure Cloud Storage for Files, Photos and Documents | pCloud Icon
    Secure Cloud Storage for Files, Photos and Documents | pCloud

    Store, access, and manage your files on your own terms, from anywhere.

    Store, sync, and share your files securely with pCloud. Get up to 10 GB of free secure cloud storage and access your files from any device, anywhere.
    Learn More
  • 1
    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.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    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
  • 3

    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
  • 4
    SEAGE
    Search Agents - a framework for collaboration of meta-heuristic agents
    Downloads: 0 This Week
    Last Update:
    See Project
  • Unrivaled Embedded Payments Solutions | NMI Icon
    Unrivaled Embedded Payments Solutions | NMI

    For SaaS builders, software companies, ISVs and ISOs who want to embed payments into their tech stack

    NMI Payments is an embedded payments solution that lets SaaS platforms, Software companies and ISVs integrate, brand, and manage payment acceptance directly within their software—without becoming a PayFac or building complex infrastructure. As a full-stack processor, acquirer, and technology partner, NMI handles onboarding, compliance, and risk so you can stay focused on growth. The modular, white-label platform supports omnichannel payments, from online, mobile and in-app to in-store and unattended. Choose from full-code, low-code, or no-code integration paths and launch in weeks, not months. Built-in risk tools, flexible monetization, and customizable branding help you scale faster while keeping full control of your experience. With NMI’s developer-first tools, sandbox testing, and modern APIs, you can embed payments quickly and confidently.
    Learn More
  • 5
    An attempt to design minimum cost broadband networks with the use of a modified version of the Particle Swarm Optimization method. A GIS subsystem is used for the visualization of data and results.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB