Professional MATLAB source code with comprehensive documentation and examples
This repository provides well-structured source code for the Artificial Bee Colony (ABC) algorithm in MATLAB. The implementation is highly usable and customizable, allowing modifications to adapt to specific optimization problems. Key components incl
Implementation of an improved artificial fish swarm algorithm featuring optimized performance and visualization capabilities, including key algorithmic enhancements and practical applications.
Particle Swarm Optimization Algorithm with Implementation Details. For a comprehensive explanation tutorial, please refer to the included materials. Due to file size limitations, contact me at 1066146635@qq.com for high-definition tutorials.
Combining Particle Swarm Optimization with Immune Algorithm for Calculating Optimal Extreme Values of Functions
Source code for nonlinear independent component analysis (ICA), primarily implementing blind source separation algorithms through nonlinear ICA functions with robust signal processing capabilities.
Distance-based feature selection with genetic algorithm optimization for AI and pattern recognition applications, implementing dimensionality reduction through fitness evaluation and chromosome operations.
A face recognition program implementing Gabor filtering for feature extraction and neural network training for classification
This practical and successfully implemented PSO-based path planning code provides valuable working examples with detailed parameter configuration and fitness function design for robotic navigation applications.
MATLAB code for SVM with cross-validation, featuring simple implementation and practical usage for machine learning applications
This article demonstrates how Particle Swarm Optimization (PSO) can enhance Support Vector Machine (SVM) classification performance through parameter tuning and optimization strategies.
1. Attachment structure: gatbx.rar contains: (1) gatbx-origin.zip (2) gatbx-toolbox.rar (3) gatbx-example.rar. 2. Debugging was performed using MATLAB version 6.5. The gatbx-toolbox is the toolbox used during debugging - while some enthusiastic resea
Support Vector Machine plotting program that effectively visualizes different classified components with implementation details for data separation and margin representation.
Genetic Algorithm Path Planning Simulation, implementing robot path planning using genetic algorithm methodology, classified as static path planning with population evolution and fitness evaluation components
A comprehensive Particle Swarm Optimization (PSO) source code implementation for solving the 50-city Traveling Salesman Problem (TSP), featuring customizable parameters and extendable to similar NP-hard optimization challenges.
This program implements a PID control system utilizing BP neural network technology. The system architecture combines two main components: a classical PID controller and a neural network module with code implementation for parameter optimization.
The Multiclass Spectral Clustering Algorithm, along with the Dominant-set algorithm, represents widely-used clustering techniques frequently applied in image segmentation and related fields, featuring eigenvalue decomposition and similarity graph con
Foreign-developed Bacterial Foraging Oriented Particle Swarm Optimization with MATLAB implementation for function optimization, featuring bio-inspired swarm intelligence techniques.
This implementation demonstrates nonlinear function mapping through fuzzy neural networks, ready for direct execution in MATLAB with complete code integration.
An innovative adaptive particle swarm algorithm utilizing cloud model theory, featuring intelligent parameter adaptation and robust optimization capabilities.
MATLAB-based recommendation system integrating machine learning approaches, originally developed by Stanford University's Andrew Ng. Features collaborative filtering algorithms and optimization techniques for personalized recommendations.