MATLAB Implementation of Genetic Algorithm (GA) with Optimization Algorithm Code Examples
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Resource Overview
MATLAB implementations of Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Ant Colony Algorithm (AS) developed during intelligent computing methods experiments. These codes include GA for Minimum Spanning Tree using Prufer encoding, PSO for unconstrained optimization problems, and AS for Traveling Salesman Problem (TSP). Seeking community improvements and experience exchange to enhance these algorithmic implementations.
Detailed Documentation
During recent intelligent computing methods experiments, I developed several MATLAB implementations including Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Ant Colony Algorithm (AS). I'm sharing these codes here hoping for community improvements and knowledge exchange to increase their value. The GA implementation solves Minimum Spanning Tree problems using Prufer encoding for efficient tree representation. The PSO code handles unconstrained optimization problems through particle position and velocity updates. The AS implementation addresses Traveling Salesman Problems (TSP) using pheromone trail updates and probabilistic path selection. If you have valuable experience with these algorithms, I would appreciate technical exchanges to enhance these implementations. Thank you!
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