NSGA-II: A Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization
Implementation and Analysis of the NSGA-II Optimization Algorithm for Solving Multi-objective Problems
Basic Genetic Algorithm for Optimization of 4 Parameters
A fundamental genetic algorithm program designed for PID controller optimization, implementing parameter tuning through evolutionary computation with selection, crossover, and mutation operations
MATLAB Implementation of Adaptive Genetic Algorithm
Adaptive Genetic Algorithm implementation in MATLAB, particularly suitable for beginners - simply modify the objective function for specific applications
Optimization Design of Fuzzy Controller Using Genetic Algorithm
This resource demonstrates fuzzy controller optimization through genetic algorithms, featuring practical code implementation examples for parameter tuning and performance enhancement.
An Enhanced Genetic Algorithm Implementation with Improved Convergence
This is my custom implementation of an enhanced genetic algorithm designed primarily to address and mitigate premature convergence issues in traditional genetic algorithms through advanced crossover operators, mutation mechanisms, and selection strat
Optimal Extreme Machine Learning: Advanced Implementation and Applications
Optimal Extreme Machine Learning: A high-performance methodology for large-scale data processing and complex model optimization with enhanced computational efficiency
Particle Swarm Optimization Algorithm Example with Code Implementation
A comprehensive particle swarm optimization algorithm example demonstrating swarm intelligence principles for solving optimization problems, including key implementation details and application scenarios.
SVR (Support Vector Regression) - Machine Learning Algorithm for Predictive Modeling
SVR (Support Vector Regression) is a supervised learning algorithm based on support vector machines, primarily used for regression tasks and data prediction. It employs kernel functions to handle non-linear relationships and demonstrates robustness a
SVDD (Support Vector Data Description) Algorithm in LIBSVM
SVDD (Support Vector Data Description) algorithm in LIBSVM can be directly implemented and allows control over the number of remaining support vectors by adjusting gamma and C parameters through configuration file settings or function arguments.
Bat Algorithm
Intelligent Optimization Algorithm - Bat Algorithm Implementation
Gene Classification on DNA Microarrays Using RFE-SVM Algorithm
Feature selection is performed using the t-test method, followed by classification with the Recursive Feature Elimination-Support Vector Machine (RFE-SVM) algorithm
Probabilistic Neural Network Classification for Transformer Fault Diagnosis Based on PNN
Classification and Prediction Using Probabilistic Neural Networks for Transformer Fault Diagnosis Based on PNN
Foreign Artificial Bee Colony Algorithm Source Code
Artificial Bee Colony (ABC) Algorithm source code implementation, thoroughly tested and ready for use
MATLAB Implementation of Backpropagation Neural Network
Source code for backpropagation neural network implementation in MATLAB, featuring easy-to-use functionality with comprehensive training and prediction capabilities. This implementation includes key components like forward propagation, error calculat
Classic Density-Based Clustering Algorithm
A custom implementation of a classic density clustering algorithm that is currently in active use, featuring simple operation and immediate deployment capabilities
Motion Object Detection using Gaussian Mixture Models with Comprehensive Clustering Toolkit
This package contains nearly all clustering toolboxes, including source code implementation for motion object detection utilizing Gaussian Mixture Models. The implementation features adaptive background modeling and foreground segmentation algorithms
C-Means Fuzzy Clustering Algorithm for Image Classification
C-means fuzzy clustering algorithm designed for image classification applications, implemented using MATLAB programming code with detailed parameter configuration and cluster optimization features.
SVM Implementation for Data Classification
SVM-based data classification with customizable kernel functions for image segmentation operations. The program automatically trains classification planes, featuring flexible kernel selection and adaptive training algorithms.
Comprehensive Reference Table of Artificial Neural Network Utility Functions
An organized reference table of artificial Neural Network utility functions providing efficient querying capabilities and implementation guidance for developers and researchers
Particle Swarm Optimization (PSO) Path Planning Algorithm
Particle Swarm Optimization (PSO) Path Planning implementation featuring depth-first search integration for local path optimization and trap avoidance capabilities.