General Information
- Author: Nicholas Dominic
- Programming Language: Python 3.7.1
- Environment (IDE): Jupyter Notebook
- Topics: Computational Intelligence Resources
- 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
- Ant System
- Ant Density
- Ant Quantity
- Ant Colony System
- Max-Min Ant System
- Best-Worst Ant System
- Ant-Q
- Fast Ant System
- ANTabu
- Rank-based Ant System
- Elitist Ant System
- Approximate Non-deterministic Tree Search (ANTS)
- Recursive Ant Colony
- Continuous Orthogonal Ant Colony
- Hypercube Framework
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:
SIMULATED ANNEALING
An experiment to discover the effects of various step and temperature updates in Simulated Annealing.
Step Update Algorithm
- Normal step update
Temperature Update Algorithm
- Classical temperature update
- Logarithmic temperature update
- Fast temperature update
- Timberwolf temperature update
NICHOLAS DOMINIC
- Education: Graduate Student in BINUS University Computer Science (AI stream)
- Email: nicholas.dominic@binus.ac.id / dominicnick4@gmail.com / ndominic75@icloud.com
- LinkedIn Profile: click here
Do me a favor to share my works and freely contact me for further recognition. Have a great rest of your day!