Meta-heuristic optimisation suite for python
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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.
A Python library for anti-clustering algorithms
Application of genetic algorithm in feature selection.
A quick template for branch and price prototypes
Interactive demo of Hooke_Jeeves and Powell algorithms used for direct-search function optimisation.
This Repo contains - Starter files, Coursework, Programming Assignments for the Master Algorithmic Programming Techniques Specialization Course -- offered by UC San Diego, Coursera.
PyJackson:Implementation of a mathematical model in Python to solve an assignment problem in Job Shop environments. With its respective Gantt chart.
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A unpublished package of variant of Quantum-inspired Tabu Search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 attempt to create an optimized F1 calendar to cut down unnecessary travelling back and forth between continents during a F1 season.
An implementation of simple genetic algorithm.
Contains some exercises about optimisation problems
A novel socio-inspired optimisation technique
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