Meta-heuristic optimisation suite for python
-
Updated
May 30, 2023 - Python
Meta-heuristic optimisation suite for python
NUBO is a Bayesian optimisation framework for the optimisation of expensive-to-evaluate black-box functions developed by the Fluid Dynamics Lab at Newcastle University.
Application of genetic algorithm in feature selection.
A Python library for anti-clustering algorithms
A quick template for branch and price prototypes
Interactive demo of Hooke_Jeeves and Powell algorithms used for direct-search function optimisation.
PyJackson:Implementation of a mathematical model in Python to solve an assignment problem in Job Shop environments. With its respective Gantt chart.
This Repo contains - Starter files, Coursework, Programming Assignments for the Master Algorithmic Programming Techniques Specialization Course -- offered by UC San Diego, Coursera.
Ant-based optimisation framework implemented in Cython/Python for graphs exploration.
Python UI for graph algorithm demonstrations
An NUS timetable generator which uses a genetic algorithm to optimise timetables to suit the needs of NUS students. (Project submission for Hack&Roll 2022)
Implementations of various deep learning architectures + extra theoretical information
A structured and quick-to-implement template for your branch and bound prototypes!
A unpublished package of variant of Quantum-inspired Tabu Search
This project showcases a generalist optimization framework using PSO, DE, and ABC algorithms. It visualizes convergence with KPIs and animations. A dedicated use case demonstrates maximizing a rectangle's area within a polygon, illustrating how to adapt the framework to various custom optimization challenges.
An implementation of simple genetic algorithm.
An attempt to create an optimized F1 calendar to cut down unnecessary travelling back and forth between continents during a F1 season.
Contains some exercises about optimisation problems
Project focusing on bio-inspired algorithms and their applications to optimisation of neural networks.
Add a description, image, and links to the optimisation-algorithms topic page so that developers can more easily learn about it.
To associate your repository with the optimisation-algorithms topic, visit your repo's landing page and select "manage topics."