Professional MATLAB source code with comprehensive documentation and examples
MATLAB implementation of NSGA (Non-dominated Sorting Genetic Algorithm) for solving multi-objective optimization problems, featuring customizable code structure with detailed comments on genetic operations and Pareto front selection mechanisms.
MATLAB-implemented genetic algorithm program using real-valued encoding for decimal optimization problems
Support Vector Machine (SVM) classification with MATLAB source code, featuring easy-to-use implementation and detailed algorithm explanations
Utilizing the latest 100 periods of Double Color Ball lottery draw numbers, this approach employs genetic algorithm to optimize BP neural network parameters for enhanced prediction accuracy
Implements aircraft path planning through genetic algorithms, where main.py serves as the primary execution file, and ceshi_draw.py visualizes smooth trajectory curves with Bézier interpolation or spline fitting techniques.
Handwritten power flow calculation program developed by a senior student at Nanchang University, previously used in coursework, capable of performing comprehensive electrical network analysis
Self-developed MATLAB implementation of Backpropagation Neural Network algorithm using M-file format.
Implementation of wavelet neural network using particle swarm optimization algorithm, including detailed PSO documentation and WNN applications with moderate performance results
A comprehensive MATLAB toolbox implementing simulated annealing algorithms for solving complex optimization problems, featuring customizable temperature schedules and neighborhood search functions.
Implement a genetic algorithm to solve the Traveling Salesman Problem by inputting parameters following the format specified in TSP1.m. The algorithm utilizes population evolution with customizable genetic operators for optimal route finding.
Dijkstra's algorithm employs breadth-first search to solve the single-source shortest path problem for weighted directed or undirected graphs, ultimately producing a shortest path tree. This algorithm is commonly used in routing protocols or as a sub
A license plate recognition program utilizing the AdaBoost algorithm, designed to provide efficient and accurate identification with implementation insights for developers.
Implementation of Constrained Particle Swarm Optimization for Reactive Power Optimization in Power Systems with Algorithmic Enhancements and Code Integration
This program implements sliding mode control with adaptive learning of upper bounds using RBF neural networks, designed for scenarios where upper bound values cannot be practically measured. The implementation includes neural network-based estimation
MATLAB program for Particle Swarm Optimization (PSO) algorithm demonstrating optimization of a benchmark function. The implementation provides a clear foundation for adapting to other functions with similar methodology. Features intuitive parameter t
Implementation of the Fish School Search Algorithm Using MATLAB
A comprehensive multi-class classification experimental system with a graphical user interface, fully implemented in MATLAB. The system supports various classification and recognition tasks, utilizing Support Vector Machine (SVM) algorithms with exte
MATLAB source code for Relevance Vector Machine (RVM) featuring fast algorithm implementation, complete with code usage documentation. RVM employs a sparse probabilistic model with the same functional form as Support Vector Machines for prediction or
Universal ant colony optimization (ACO) program implementation with modular code structure for solving various combinatorial optimization problems
Particle filter algorithm, state noise, observation noise, particle swarm size, updating weights for each particle in the swarm, weight normalization, resampling. Implementation includes handling noise models, weight calculation based on likelihood f