Genetic Algorithm Implementation
Self-developed Genetic Algorithm with Custom Code Implementation
MATLAB Implementation of Genetic Algorithm with Floating-Point Encoding and Adaptive Operators
Genetic algorithm implementation using floating-point encoding with adaptive crossover and mutation factors for enhanced search capability
Optimization Using Genetic Algorithm to Find Minimum Solution for Multivariate Function (Griewank Function)
Applying Genetic Algorithm for Multivariate Function Optimization with Griewank Function Case Study
MATLAB Source Code for Genetic Algorithm with Adaptive Technology
MATLAB source code implementing genetic algorithm with adaptive technology for image denoising applications, featuring dynamic parameter adjustment and optimization mechanisms
Classic Implementation of Traveling Salesman Problem Using Genetic Algorithm
This source code provides a classic implementation for solving the Traveling Salesman Problem using Genetic Algorithm, serving as an excellent reference for understanding evolutionary optimization approaches in combinatorial problems.
Genetic Algorithms for Function Optimization Problems
Implementation of genetic algorithm for function optimization using MATLAB programming with selectable objective functions
Source Code for Genetic Algorithm Optimized Wavelet Neural Network
Source code for genetic algorithm optimized wavelet neural network implementation: 1. Nonlinear function construction: Located in nninit_test.m (initialization script for test function generation). 2. Direct nonlinear approximation using WNN: Wnn_test.m (implements wavelet neural network with internal wavelet function calls). 3. Optimized approximation after genetic algorithm: GA_Wnn_test.m (incorporates genetic algorithm operations including initialization, fitness evaluation, and decoding functions).
Genetic Algorithm and Particle Swarm Optimization for Reliability Optimization Problems
Implementation of genetic algorithm and particle swarm optimization for reliability optimization, featuring straightforward algorithmic approaches with practical code examples
Multi-Objective Optimization Using Genetic Algorithms
MATLAB-based development for multi-objective optimization using genetic algorithms with code implementation insights
Genetic Algorithm for Optimizing Point-to-Point Trajectory Planning in a 3-Link Robotic Arm
This implementation employs a Genetic Algorithm (GA) to optimize point-to-point trajectory planning for a 3-link robotic arm, with the objective function minimizing travel time and distance while adhering to predefined maximum torque constraints.