Comparison of Genetic Particle Swarm Optimization, Chaotic Particle Swarm Optimization, and Standard Particle Swarm Optimization

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.

FIR Filter Design Using Genetic Particle Swarm and Chaotic Particle Swarm Optimization

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.

Enhanced Genetic Particle Swarm Optimization Algorithm with Superior High-Dimensional Performance

The latest improved genetic particle swarm algorithm achieves increasingly better performance as problem dimensionality grows, featuring enhanced cross-dimensional optimization capabilities and adaptive parameter tuning mechanisms.