Quantum Particle Swarm Optimization for RBF Network Enhancement
Implementation of Quantum Particle Swarm Algorithm for Optimizing Radial Basis Function Networks with Code Integration Strategies
Genetic Algorithm Optimized BP Neural Network Weight and Threshold Parameters
This MATLAB program implements genetic algorithm optimization for BP neural network weight and threshold parameters, featuring population initialization, fitness evaluation, crossover, mutation operations, and neural network training integration.
Virtual Force-Guided Particle Swarm Optimization Algorithm for Fan-Shaped Sensor Area Coverage Optimization
A virtual force-guided particle swarm optimization algorithm for optimizing the area coverage of fan-shaped sensors. This algorithm simulates particle movement and interactions to determine optimal sensor placements, improving coverage range and detection capabilities to meet practical application requirements.
Levenberg-Marquardt Optimization for Homography Matrix
Levenberg-Marquardt Optimization for Homography Matrix with Adaptability for Camera Calibration Parameter Refinement
Particle Swarm Optimization for Tuning Support Vector Machine Model Parameters
This MATLAB code implements a cost-sensitive Support Vector Machine (SVM) model optimized by Particle Swarm Optimization (PSO) algorithm, specifically designed for handling imbalanced datasets through automated parameter tuning.
Regularized Orthogonal Matching Pursuit: An Optimization of the Orthogonal Matching Pursuit Algorithm
Regularized Orthogonal Matching Pursuit is an enhanced version of the Orthogonal Matching Pursuit algorithm, designed for sparse signal recovery and compressive sensing applications with improved performance through regularization techniques.
Singular Value Decomposition Using the Jacobi Pass-Through Method Algorithm
The Jacobi pass-through method algorithm for matrix singular value decomposition is an optimization of the Jacobi algorithm that enhances computational speed through selective element processing.
Bacterial Foraging Optimization Algorithm
This optimization algorithm is designed for control parameter tuning, specifically for PID controller optimization and gain value adjustment through biologically-inspired computational methods.
Implementation of Cross-Entropy for Optimizing Multivariate Gaussian Mixture Models
Source code for optimizing multivariate Gaussian mixture models using cross-entropy method, provided for learning and practical implementation with detailed algorithmic explanations.
Multi-Variable Multi-Modal Function Optimization Using Genetic Algorithms
Implementation of genetic algorithms for multi-variable, multi-modal function optimization and multi-objective problem optimization with practical working examples and executable code.