Professional MATLAB source code with comprehensive documentation and examples
Differential Evolution Algorithm is an emerging intelligent computational method capable of solving various unconstrained optimization problems. It operates through mutation, crossover, and selection operations to evolve population solutions.
Latest AP clustering algorithm implementation and demo program based on the scientific paper "Affinity Propagation" published in Science, featuring efficient similarity matrix computation and cluster center selection.
Image segmentation using Support Vector Machine (SVM) with OTSU thresholding produces excellent results, directly generating binary images with enhanced feature extraction and classification capabilities
The Fuzzy C-Means (FCM) algorithm is a partition-based clustering method designed to maximize similarity within clusters while minimizing inter-cluster similarity. As an improvement over hard-partitioning C-means algorithms, FCM employs flexible fuzz
Solving the Traveling Salesman Problem (TSP) using MATLAB-based Genetic Algorithms and Simulated Annealing, along with LINGO-based Dynamic Programming optimization methods. Includes code implementation strategies and algorithm comparisons.
A MATLAB-based genetic algorithm program with comprehensive code documentation, featuring clear algorithm explanations and function descriptions for easy understanding and implementation.
MATLAB source code for Probabilistic Neural Network, designed for pattern recognition and data classification tasks with probability-based decision making.
This MATLAB-based intelligent stock selection strategy is designed to help investors identify valuable investment opportunities from nearly 2,000 stocks through algorithmic analysis and data-driven screening.
A self-developed MATLAB implementation of wavelet neural network that has been successfully applied in practical scenarios, featuring optimized algorithms for complex data processing.
Implementation of Particle Swarm Optimization algorithm for solving reliability optimization problems using MATLAB programming
MATLAB implementation of genetic algorithm including program source code for various genetic operations such as selection, crossover, and mutation.
PSO source code and its function optimization applications, featuring clean and readable implementation with detailed algorithm explanations. Ideal for beginners to quickly grasp particle swarm optimization concepts through practical code examples.
A clustering algorithm implementation utilizing complex network generation methodologies, featuring robust performance and practical applicability.
An image registration algorithm using mutual information with optimization combining Powell method and Particle Swarm Optimization for enhanced performance
A MATLAB implementation of the Griewank test function, particularly valuable for benchmarking performance of intelligent algorithms like Particle Swarm Optimization and Genetic Algorithms
MATLAB implementation using genetic algorithm to solve 8-node logistics distribution problem. Verified functional code with customizable distance matrices and route visualization capabilities, featuring chromosome encoding, fitness evaluation, and cr
Multi-parameter optimization via conjugate gradient method with adjustable precision control for parameter estimation
MATLAB genetic algorithm program featuring selection, crossover, and mutation functions with practical implementation examples and code demonstrations.
Source code for K-means clustering algorithm implementation, designed for signal sorting applications - academic paper implementation with comprehensive technical documentation
This compressed archive contains practical implementations of common artificial intelligence algorithms, including the ant colony optimization algorithm with complete source code and documentation