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
Detailed Explanation and Implementation of GSO algorithm
Implementation of Popular Swarm Intelligence Models
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
GSA: Gravitational Search Algorithm In Python
Library for global optimization of multiextremal nondifferentiable functions.
Hyperparameter selection on machine learning models using Particle Swarm Optimization
A Python implementation of the Dispersive Flies Optimization algorithm, and an implementation to find Steiner systems
An implementation of PSO
Approaching the Travelling Salesman Problem using Hive(Beehive) simulations.
Stochastic Optimization and Evolutionary Computing Algorithm implementation in python
AGH University of science and technology - Operational Research Labs - Project
Hobbyist Library Combining Machine Learning with Heuristics, Tested Across Supervised and Reinforcement Domains
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