GUI Ant-Miner is a tool for extracting classification rules from data. It is an updated version of a data mining algorithm called Ant-Miner (Ant Colony-based Data Miner).
A collection of ACO algorithms for the data mining classification task
MYRA is a collection of Ant Colony Optimization (ACO) algorithms for the data mining classification task. It includes popular rule induction and decision tree induction algorithms. The algorithms are ready to be used from the command line or can be easily called from your own Java code. They are build using a modular architecture, so they can be easily extended to incorporate different procedures and/or use different parameter values. This project is now hosted at: https://github.com/febo/myra
Genetic Algorithm and Ant Colony to solve the TSP problem
This project compares the classical implementation of Genetic Algorithm and Ant Colony Optimization, to solve a TSP problem. It's possible to define the number of cities to visit , and also interactively create new cities to visit in a 2D spatial panel. A total distance is given for AG and ACO solution at end.
Multiprocessor Scheduling with Genetic Algorithm in Java
The existing problems in the multiprocessor scheduling has been removed using genetic algorithm and optimal results has been obtained. The further work in this area can be improved by using the other metaheuristics including ant colony optimization, simulated annealing, honeybee algorithm. These algorithms are very prominent in terms of solving the combinatorial optimization problems. The multiprocessor scheduling algorithm can be passed with assorted swarm intelligence techniques to get...
This is a GUI, Java implementation of the Ant Colony Optimisation/Particle Swarm Optimisation (PSO/ACO2) rule induction algorithm. This project was inspired by Ant-Miner, but handles continuous attributes using PSO or now Differential Evolution.
An ant simulation game involving user interaction.
Colony is an opensource two-dimensional game developed in Python and Pygame as an educational learning experience by Jonathan Redeker. Ants spawn and live in their colony breeding, feeding, and hoping they will not die of disease. The user plays as a god destroying their colony with different skills depicted by their "player points". Colony is compiled with PyInstaller and the music and sound effects were created by lunarfox (http://www.facebook.com/lunarfox, http://soundcloud.com/lunarfox)
Search Agents - a framework for collaboration of meta-heuristic agents
Safety in numbers.
REPOSITORY MOVED TO GITHUB: https://github.com/happyjack27/SwarmWars video sample: http://youtu.be/s5mLNbdBQGY A game where you evolve & compete AI swarms. The organisms use swarm intelligence & ant colony optimization. The organisms can communicate through 3-color signaling as well as by laying beacons. They can attack and repair other organisms. They can select mates, and they can gather and distribute food and material. This behavior is controlled by a genetically evolved neural net...
Substitution cipher cracker based on ant colony optimization metaheuristic. Includes GUI. Everything is in czech because this is a school project :(
An edge detector using ant colony algorithm
This is an edge detector using ant colony algorithm. It also includes Canny, Sobel, Laplace methods. firstname.lastname@example.org
Ant Colony Optimizer
Simple POSIX multithread Ant Colony Optimizer framework currently for solving Vehicle Routing Problem. Supports UDP, file synchronizatoin between computers.
Ant Colony and food research using pheromones.
Inspired by the idea of ant colony optimization (ACO) algorithm being successfully applied to detect epistasis, we introduce an ACO based algorithm, AntMiner, by incorporating heuristic information into ant-decision rules.
Implementation of Artificial Inteligence algorithms in python: - Ant Colony Optimization - Greed Algorithm
Pick-up and Delivery Vehicle Routing Problem with Time Windows and Multiply Types of Googs. Ant Colony optimization approach
SwarmTSP is a library of swarm intelligence algorithms for the Traveling Salesman Problem. Currently, it implements Ant Colony Optimization and Consultant-Guided Search algorithms.
An artificial intelligence library focused for developers. Contains implementations of fuzzy logic (Mandiani's inference), genetic algorithms, ant colony optimization,neural networks (Perceptron, MLP, Adaline, RBF, LVQ, Hebb, Kohonen, et al).
Ant colony optimization. Technique adopted from Applications of AI -
Great Ant Colony Maxium. Be an Ant form birth to solder. Hunt, protect, work like a team. Use 3d Game Engine Plus.
Distributed Ant Robotics is divided into two parts. First is the simulation of “ant colony”. Second part is the algorithm application. Where you can use algorithms for ant behavior.
TACS (Trust Ant Colony System) is a Trust model for P2P, Ad-hoc and Wireless Sensor networks (also valid for multi-agent systems) based on the bio-inspired algorithm ACS (Ant Colony System).
Investigate and visualize ant-routing (or, Ant Colony Optimization)
This project is coded by SWI-Prolog Find the shortest path depending on Prolog Programming Language with Ant Colony Algorithm It is under GNU-License
Open Source version of Sim Ant. Eventually an extended version of the game that will allow users to play against each other over the Net.