TensorSwarm: A framework for reinforcement learning of robot swarms.
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Updated
Feb 4, 2020 - Python
TensorSwarm: A framework for reinforcement learning of robot swarms.
A settings-free global optimization method based on PSO and fuzzy logic
This repository include implementation of particle swarm optimization (pso) algorithm in C++
Detailed Explanation and Implementation of GSO algorithm
IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine
This is a repository which contains all the code for the Spider Monkey Optimization Algorithm, associated with Chapter 6, Machine Learning for Intelligent Decision Science. https://link.springer.com/book/10.1007/978-981-15-3689-2
Implementation of Popular Swarm Intelligence Models
The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers. Most of these cliché methods mimic animals' searching trends and possess a small contribution to the optimization process itself. Most of these cliché methods suffer from the locally efficient performance, biased verification methods on easy problems, an…
GSA: Gravitational Search Algorithm In Python
Library for global optimization of multiextremal nondifferentiable functions.
A Scala Akka library for swarm intelligence algorithms
A C# project to simulate and test a multiagent algorithm for finding multiple noisy radiation sources with spatial and communication constraints with an emulated environment. The algorithm tries to detect the source(s) of radiation with some robots in the monitoring fields. Each robot has a sensor mounted to detect the radiation concentration. T…
Quantum-Behaved Particle Swarm Optimization Algorithm
Python Implementation of the Swarm Intelligent (SI) Artificial Bee Colony Optimization Algorithm (ABC)
Particle Swarm Optimization Implementation
A Python implementation of the Dispersive Flies Optimization algorithm, and an implementation to find Steiner systems
A Java implementation and visualization of the glowworm swarm optimization (GSO) algorithm invented by Krishnanand N. Kaipa and Debasish Ghose.
Effect of hipster behavior on opinion propagation in a swarm of robots.
Swam intelligence for numerical optimization implemented in .NET
Hyperparameter selection on machine learning models using Particle Swarm Optimization
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