Explore MATLAB source code curated for "粒子群算法" with clean implementations, documentation, and examples.
A curated collection of 5 Particle Swarm Optimization algorithms including standard PSO, hPSO, PSOt enhancement algorithms, featuring detailed implementation approaches and selection guidance for optimization problems
This file contains MATLAB code implementing Particle Swarm Optimization (PSO) to optimize parameters for a cost-sensitive Support Vector Machine (SVM) model designed specifically for handling imbalanced datasets. The algorithm optimizes three key parameters: C1, C2, and sigma, using swarm intelligence principles for efficient parameter space exploration.
This repository contains MATLAB implementations for optimizing Diagonal Recurrent Neural Networks (DRNN) using Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Backpropagation (BP) algorithm, featuring complete code structures and parameter tuning methodologies.
Reactive power optimization using particle swarm algorithm with practical 14-node system implementation, complete with MATLAB/Python code examples for parameter initialization, fitness evaluation, and velocity updating
MATLAB implementation of particle swarm optimization algorithm with constraint handling operators - a valuable research tool for academics and educators working with constrained optimization problems
A valuable resource compiled by computational intelligence professors from Peking University's Computational Intelligence Laboratory, featuring complete PSO algorithm source code with detailed comments, supporting PPT documentation, and fifteen standard benchmark test functions for performance evaluation
Complete PSO Algorithm Implementation for PID Optimization with Superior Performance Results
This MATLAB implementation employs Particle Swarm Optimization (PSO) to optimize parameters in Radial Basis Function (RBF) neural networks, with testing demonstrating superior function approximation capabilities compared to non-optimized RBF networks through comprehensive benchmark validation.
Particle Swarm Optimization Algorithm for Solving Function Extremum Problems. This program visualizes the optimization process of particle swarm optimization, including position updates, velocity adjustments, and fitness evaluation through iterative computations.
A source code implementation of Particle Swarm Optimization and Genetic Algorithm optimized Radial Basis Function neural network, ready for direct deployment with comprehensive technical documentation.