Particle Swarm Optimization and Enhanced PSO Algorithms
Classical implementation of Particle Swarm Optimization algorithms with improvements, featuring code explanations and practical examples for quick beginner mastery.
An Enhanced Network Node Localization Algorithm Using Improved Particle Swarm Optimization
A network node localization algorithm based on an improved particle swarm optimization approach, with comparative analysis against traditional DV-Hop methods, including implementation details and performance evaluation.
Enhanced Particle Swarm Optimization: Adaptive PSO Algorithm
The Adaptive Particle Swarm Optimization algorithm improves upon standard PSO by incorporating entropy and average particle distance concepts, significantly accelerating convergence while maintaining global search capabilities. This enhancement reduces susceptibility to local optima and effectively handles complex optimization problems through dynamic parameter adjustments and swarm diversity monitoring.
Improved Particle Swarm Optimization for Reactive Power Optimization Problems
Enhanced Particle Swarm Optimization algorithm calculates reactive power optimization with adaptive inertia weight and social cognitive mechanisms