Nonlinear Integer Programming Problems with Genetic Algorithm Implementation
MATLAB Implementation for Nonlinear Integer Programming Using Genetic Algorithms - Exploring Heuristic Optimization Techniques with Code Examples
Function Optimization Algorithm Code Using Multiple Genetic Algorithms
This repository contains implementation code for various genetic algorithm approaches applied to function optimization. The code demonstrates key genetic operators including selection, crossover, and mutation techniques. For detailed explanations and tutorials, please refer to the included documentation. High-resolution tutorials are available upon request due to file size limitations.
Genetic Algorithm Main Program Implementation
fga.m serves as the main program for the genetic algorithm implementation, featuring binary Gray encoding, nonlinear ranking selection based on roulette wheel method, uniform crossover operations, mutation operations, and the inclusion of inversion operations
Genetic Algorithm Optimization for BP Neural Networks
Utilizing Genetic Algorithms to Optimize Neural Network Weights and Thresholds with Code Implementation
Phase-Only Beam Synthesis Program Developed Using Genetic Algorithm
A genetic algorithm-based phase-only beam synthesis application featuring low sidelobe optimization
Genetic Algorithm for Path Planning with MATLAB Implementation
MATLAB source code for genetic algorithm-based path planning, containing multiple sub-files - execute the main mypath.m file for testing and demonstration
Genetic Algorithm Program
This genetic algorithm program is a simulation implemented in the MATLAB environment, compatible with all versions and suitable for optimization problem-solving.
Genetic Algorithm-Based Cerebellar Model Controller Simulation for Permanent Magnet Brushless DC Motor Mathematical Model
Simulation of a mathematical model for permanent magnet brushless DC motors using a cerebellar model controller optimized with genetic algorithms. Includes complete MATLAB/Simulink code implementation and simulation models with detailed parameter configurations.
Optimizing Wavelet Neural Networks Using Genetic Algorithm
Implementation of genetic algorithm-optimized wavelet neural network for function approximation with complete program structure and enhanced convergence performance
MATLAB Source Code for Robot Path Planning Using Genetic Algorithm
MATLAB implementation of robot path planning through genetic algorithm with detailed code explanations