Explore MATLAB source code curated for "源代码" with clean implementations, documentation, and examples.
MATLAB source code for Multi-Objective Particle Swarm Optimization algorithm designed to solve multi-objective optimization problems, featuring swarm intelligence implementation with Pareto front solutions. For detailed documentation and algorithm papers, please visit http://www.kalami.ir/
Fully functional MATLAB implementation of Ant Colony Optimization algorithm including complete source code, detailed documentation, pre-configured simulation data and parameter values. This serves as an excellent educational resource for understanding and applying ACO algorithms.
Firefly Algorithm source code with executable function files for finding optimal triple thresholds in image segmentation. The implementation features mathematical modeling of firefly attraction dynamics, parameter optimization routines, and fitness evaluation for multi-threshold selection.
Source code for the 2014 book "MIMO-OFDM Wireless Communication Technology and MATLAB Implementation" - excellent quality with comprehensive MATLAB implementations covering key algorithms and system models.
Monte Carlo Algorithm Simulation Source Code - Demonstrates the fundamental principles of Monte Carlo simulations with practical implementation examples and algorithm explanations
MATLAB source code implementation for RSSI-based positioning algorithm with comprehensive signal processing and distance calculation functions
Original source code for minimum cross-entropy image segmentation with implementation details. Related references are included in the source code comments.
This MATLAB function implements affine transformation on images, providing excellent source code with configurable parameters for various geometric transformations including scaling, rotation, translation, and shearing operations.
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 include employed bee phase, onlooker bee selection, and scout bee mechanisms with detailed parameter tuning options.
Implementation source code for computing fractal box dimension using block-partitioned grayscale image processing technique