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.

Particle Swarm Optimization Algorithm with Compression Factor

This repository contains implementations of various PSO algorithm variants including: PSO with compression factor, weight-improved PSO, adaptive weight method, random weight method, PSO with variable learning factors, asynchronously changing learning factors, second-order PSO, second-order oscillatory PSO, chaotic PSO, hybrid PSO, crossover PSO, and simulated annealing algorithm. The collection provides comprehensive coverage of PSO improvements and variants with practical code implementations.