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.

MATLAB Implementations of Various Particle Swarm Optimization Algorithms

Comprehensive collection of PSO algorithms including standard PSO, constriction factor PSO, inertia weight PSO, adaptive learning factor PSO, second-order PSO, chaotic PSO, and simulated annealing PSO. These robust implementations feature optimized parameter tuning, velocity updates with boundary handling, and fitness evaluation functions for immediate practical application.