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Computational Intelligence algorithm resources. Programming Language: Python 3.7 | IDE: Jupyter Notebook

Jupyter Notebook 99.23% Python 0.77%

computational-intelligence machine-learning machine-learning-algorithms python3 jupyter-notebook deep-learning deep-learning-algorithms ant-colony-optimization artificial-bee-colony simulated-annealing ant-system ant-density ant-quantity

computational-intelligence's Introduction

Computational Intelligence

General Information

Author: Nicholas Dominic
Programming Language: Python 3.7.1
Environment (IDE): Jupyter Notebook
Topics: Computational Intelligence Resources

Frequently Ask Questions (FAQ)

Can I copy all or some of your works?
>> You can, by specifying author's name as condition. Or simply do GitHub's fork from my repository.
I can't open your .ipynb file, how to resolve the issue?
>> Copy the url (with .ipynb extension) and paste it to this website.
May I commit a change in your code?
>> You may. But only reliable changes will acquire my acceptance, as soon as possible.

ANT COLONY OPTIMIZATION
An experiment to simulate Ant Colony Optimization algorithms, given the relative importance of pheromone, relative importance of heuristic information, pheromone residual coefficient, pheromone intensity, and pheromone update strategy.

Ant Colony algorithms

ARTIFICIAL BEE COLONY
An experiment to find the global minimum of the given Rosenbrock function. In addition, I discovered the effects of different swarm/colony sizes and number of execution iterations in Artificial Bee Colony.

Library used: