A research toolkit for particle swarm optimization in Python
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Updated
Aug 6, 2024 - Python
A research toolkit for particle swarm optimization in Python
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
🐝 GPTSwarm: LLM agents as (Optimizable) Graphs
EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.
Neural Architecture Search Powered by Swarm Intelligence 🐜
Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
Python microframework for building nature-inspired algorithms. Official docs: https://niapy.org
A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered in the current version.
Swarming algorithms like PSO, Ant Colony, Sakana, and more in PyTorch 😊
Implementation of Firefly Algorithm in Python
Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.
The goal of this repository is to introduce a new, customizable, scalable, and fully opensource mobile robot platform, called SMARTmBOT. This repository provides a guide, and all design files and source codes so that you can build your own SMARTmBOT. SMARTmBOT can be useful for studying the basics of robotics, especially mobile robotics. It can …
This is a Boids Simulation, written in Python with Pygame.
Solving Travelling Salesman Problem using Ant Colony Optimization
Evolutionary Computation (EC): A Modern Perspective |<...>| This is an online book, which is free-access and actively-updated (1st Edition: from 2023 to 2027).
Ant colony simulator
In this paper, a new stochastic optimizer, which is called slime mould algorithm (SMA), is proposed based upon the oscillation mode of slime mould in nature. The proposed SMA has several new features with a unique mathematical model that uses adaptive weights to simulate the process of producing positive and negative feedback of the propagation …
multi traveling salesman problem with ant colony optimization
Exploration into the Firefly algorithm in Pytorch
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