MATLAB Source Code for Ant Colony Optimization Algorithm
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Resource Overview
Detailed Documentation
This repository provides MATLAB source code for the Ant Colony Optimization algorithm, comprising twelve well-documented source files. The implementation includes detailed algorithmic explanations and practical code examples featuring key components such as pheromone initialization, probability calculation for path selection, and pheromone update mechanisms. Each source file contains commented code demonstrating different aspects of the algorithm including roulette wheel selection, evaporation processes, and solution construction procedures. The code structure follows modular design principles with separate functions for initialization, iteration cycles, and result visualization, making it suitable for both educational purposes and practical applications in optimization problems.
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