Search Results for "ant colony matlab"
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Showing 28 open source projects for "ant colony matlab"
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AntTSP
Traveling Salesman Problem (TSP) Solver
Fast Ant Colony Optimization TSP Solver -
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AcoPath for Java
Ant Colony Optimization algorithm for the shortest path problem.
The shortest path problem is solved by many methods. Heuristics offer lower complexity in expense of accuracy. There are many use cases where the lower accuracy is acceptable in return of lower consumption of computing resources. The basic idea of the Ant System is that virtual ants are exploited for finding paths with a specific property, e.g., short distance between physical nodes, in the same way nature guides physical ants. -
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AcoPath
Ant Colony Optimization algorithm for the shortest path problem.
The shortest path problem is solved by many methods. Heuristics offer lower complexity in expense of accuracy. There are many use cases where the lower accuracy is acceptable in return of lower consumption of computing resources. The basic idea of the Ant System is that virtual ants are exploited for finding paths with a specific property, e.g., short distance between physical nodes, in the same way nature guides physical ants. Development takes place at https://github.com/zfoxer/AcoPath -
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MYRA
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 -
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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).
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ds-Bidens
Software for studying bacterial colony features
...) was programmed using C++, Perl and wxBasic programming languages. ζ-Bidens provides key tools for studying bacterial colony images as: texture analysis, invariant moment and color (CIELab) calculation, etc., simplifying operations previously carried out by MatLab applications. Additionally ζ-Bidens offers to the users a versatile environment for the study and identification of bacterial colonies -
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tsp-problem-ga-aco-comparisson
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. -
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MORPHE
MORphological PHenotype Extraction
MORphological PHenotype Extraction (MORPHE) is a suite of automated image processing, visualization, and classification algorithms to facilitate the analysis of heritable and clonal red-to-green transitions that occurred during the growth of a colony. -
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AntMatcher
An automatic ant recognition tool
Nearest-centroid classification of ant face photos. Code for training classifiers offline (Octave/Matlab), and JavaScript code for running the classifiers on web (see AntMatcher web site for a demo). -
From improving customer experience through seamless sign-on to making MFA as easy as a click of a button – your login box must find the right balance between user convenience, privacy and security.
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Colony
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) -
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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.
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Search Agents - a framework for collaboration of meta-heuristic agents
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Swarm Wars
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... -
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Edge Detection
An edge detector using ant colony algorithm
This is an edge detector using ant colony algorithm. It also includes Canny, Sobel, Laplace methods. whypro@live.com -
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Substitution cipher cracker based on ant colony optimization metaheuristic. Includes GUI. Everything is in czech because this is a school project :(
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ACOptim
Ant Colony Optimizer
Simple POSIX multithread Ant Colony Optimizer framework currently for solving Vehicle Routing Problem. Supports UDP, file synchronizatoin between computers. -
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AntMiner
AntMiner
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. -
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Implementation of Artificial Inteligence algorithms in python: - Ant Colony Optimization - Greed Algorithm
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Pick-up and Delivery Vehicle Routing Problem with Time Windows and Multiply Types of Googs. Ant Colony optimization approach
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SwarmTSP is a library of swarm intelligence algorithms for the Traveling Salesman Problem. Currently, it implements Ant Colony Optimization and Consultant-Guided Search algorithms.
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Great Ant Colony Maxium. Be an Ant form birth to solder. Hunt, protect, work like a team. Use 3d Game Engine Plus.
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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.
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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).