MATLAB Implementation of Genetic Algorithm with Code Structure
A genetic algorithm program implementation featuring selection, crossover, and mutation operations with fitness evaluation functions
MATLAB Implementation of Genetic Algorithm for Support Vector Machine Parameter Optimization
A genetic algorithm implementation designed to optimize kernel function parameters and related hyperparameters for Support Vector Machines (SVM), featuring selection, crossover, and mutation operations with fitness evaluation through model performance metrics.
Genetic Algorithm for Multivariate Regression Fitting
A program utilizing genetic algorithms for multivariate regression fitting with excellent performance and reliable results! Highly recommended implementation featuring chromosome encoding, fitness evaluation, and population evolution mechanisms.
Workpiece Image Preprocessing with Enhanced Genetic Algorithm and Hausdorff Distance
This program implements workpiece image preprocessing and edge extraction, combining improved genetic algorithms with Hausdorff distance for object recognition. It utilizes Canny edge detection as matching features, employs modified Hausdorff distance as similarity measurement criteria, and applies genetic algorithms for rapid optimal matching search. Code implementation includes adaptive thresholding in preprocessing, gradient calculation in edge detection, and population-based optimization with crossover/mutation operations for efficient pattern matching.
Integration of Genetic Algorithm with BP Neural Network
Custom-developed code combining genetic algorithm with BP neural network for multi-objective optimization on neural network models! Includes detailed documentation with comprehensive results explanation! Implements BP-GA multi-objective optimization application example with complete technical specifications!
Solving Constrained Nonlinear Programming Problems Using Genetic Algorithms in MATLAB
Implementation of Genetic Algorithms for Constrained Nonlinear Optimization in MATLAB with Code-Based Explanations
Genetic Algorithm Implementation for Switch Packet Scheduling
Implementing packet scheduling in switches using genetic algorithms to improve switching efficiency, reduce delay jitter, and minimize transmission delays, with code-level optimizations for resource allocation and performance enhancement.
Enhanced Ant Colony Optimization Algorithm
This improved algorithm effectively resolves convergence issues and achieves exceptional clustering performance (as demonstrated in the attached result images). The enhanced ant colony algorithm builds upon genetic algorithm foundations by incorporating mutation factors that accelerate convergence through strategic solution space exploration.
Euclidean Distance Calculation Method and Source Code
Euclidean Distance Calculation Method and Source Code for Genetic Algorithm Similarity Measurement
Modified Genetic Algorithms (GA) and Other Optimization Algorithms from Wiley Publications
Modified and validated MATLAB implementations of various genetic algorithms (GA) from Wiley books, along with additional optimization techniques such as Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO). These enhanced codes are ready for immediate use with improved performance and efficiency.