Search Results for "swarm"

Swarmpit is an open-source, self-hosted web dashboard that simplifies Docker Swarm cluster operations. It offers management of stacks, services, secrets, volumes, networks, and allows secure team access. It visualizes real-time CPU/memory/disk metrics, supports private registry integration, and streamlines deployment flows. The interface is mobile-friendly and privacy-focused—collecting no telemetry.

mall-swarm is the microservices edition of the mall e-commerce system, designed to illustrate how an enterprise-scale e-commerce backend can be built using Spring Cloud Alibaba, Spring Boot 3.x, Sa-Token (authentication), MyBatis, Elasticsearch, Docker and Kubernetes. It includes modules for gateway, auth, search, portal, admin, monitoring, config, registry, and more, and integrates a Vue-based management frontend.

...Designers can continue to use their domain tools such as favorable simulator and by pluging it into the framework can take advantage of distributed simulations in the grid, various analyzers, optimizers (particle swarm optimization, genetic algorithms, ...). See Wiki pages for more information.

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.

The MOEA Framework is a free and open source Java library for developing and experimenting with multiobjective evolutionary algorithms (MOEAs) and other general-purpose multiobjective optimization algorithms. The MOEA Framework supports genetic algorithms, differential evolution, particle swarm optimization, genetic programming, grammatical evolution, and more. A number of algorithms are provided out-of-the-box, including NSGA-II, NSGA-III, ε-MOEA, GDE3 and MOEA/D. In addition, the MOEA Framework provides the tools necessary to rapidly design, develop, execute and statistically test optimization algorithms.

Search Agents - a framework for collaboration of meta-heuristic agents

CILib is a framework for developing Computational Intelligence software in swarm intelligence, evolutionary computing, neural networks, artificial immune systems, fuzzy logic and robotics.

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.