MATLAB Implementation of Genetic Algorithm and Least Squares Support Vector Machine
MATLAB programs for Genetic Algorithm optimization and Least Squares Support Vector Machine implementation with code structure explanations
Genetic Algorithm Optimization for Support Vector Machine Algorithm
Application Background: The current standalone SVM exhibits limited recognition accuracy. This program employs genetic algorithms to optimize the SVM algorithm, enhancing its precision and predictive performance. Key Technology: GA-SVM optimization algorithm improves recognition accuracy and prediction reliability through parameter tuning and model adaptation.
MATLAB Genetic Algorithm Toolbox Implementation
A highly efficient and user-friendly Genetic Algorithm toolbox featuring comprehensive algorithm libraries with extensive practical examples for rapid implementation and deployment.
Robust Controller Design Using Genetic Algorithm with Visualization Capabilities
Implementation of genetic algorithm-based robust controller design and visualization program for a specified system, featuring automated parameter optimization and performance analysis tools
Extremely Simple Genetic Algorithm
A minimalist genetic algorithm source code originally developed by Denis Cormier (North Carolina State University) and revised by Sita S. Raghavan (University of North Carolina at Charlotte). The code is intentionally kept minimal and requires minimal error checking. For specific applications, users only need to modify constant definitions and implement the "fitness function".
Implementation of Simple Genetic Algorithm and Basic BP Network using MATLAB
Program implementation of a simple genetic algorithm and basic backpropagation neural network using MATLAB with detailed code structure and application examples
Reactive Power Optimization Program for Power Systems Based on Genetic Algorithm
A genetic algorithm-based reactive power optimization program for power systems, designed to enhance power system optimization using standard MATLAB implementation with fitness functions, chromosome encoding, and crossover/mutation operations.
Solving Vehicle Routing Problem Using Genetic Algorithm
This article demonstrates how genetic algorithms can solve vehicle routing problems, providing practical insights and code implementation details for optimization challenges.
BP Algorithm Enhanced with Genetic Algorithm Development
A MATLAB-implemented program featuring BP algorithm improved with genetic optimization, successfully compiled and tested
Solving TSP Problem Using Genetic Algorithm with MATLAB Implementation
MATLAB implementation of genetic algorithm for solving the Traveling Salesman Problem (TSP), including city coordinates for validation and performance testing.