Explore MATLAB source code curated for "混沌粒子群" with clean implementations, documentation, and examples.
Performance comparison of Genetic PSO, Chaotic PSO, and Standard PSO algorithms on a test function, demonstrating their respective convergence curves. This represents the core innovation of my graduation project, with significant practical applications in optimization problems.
Threshold-based image segmentation method employing 2D histogram analysis and chaotic particle swarm optimization algorithm for enhanced accuracy
FIR filter design using Genetic Particle Swarm Optimization (GPSO) and Chaotic Particle Swarm Optimization (CPSO) with performance comparison. The filter parameters are adjustable, enabling optimal solution discovery through evolutionary computation techniques.
Fuzzy segmentation utilizing chaotic particle swarm optimization and 2D histogram oblique thresholding for image processing applications
This program implements the Chaotic Particle Swarm Optimization algorithm, designed for immediate use through parameter customization and adaptable for various optimization scenarios.