Niche Genetic Algorithm Implementation

The code files included in this implementation consist of the following components:

- MyFun1.m: Implements the niche genetic algorithm for one-dimensional optimization functions. This file contains fitness function definitions and parameter settings specifically designed for 1D optimization problems.

- MyFun2.m: Implements the niche genetic algorithm for two-dimensional optimization functions. This module handles 2D search spaces with specialized crossover and mutation operators for maintaining population diversity.

- MyFun3.m: Implements the niche genetic algorithm for three-dimensional optimization functions. The algorithm includes niching techniques to prevent premature convergence in complex 3D landscapes.

- Main_GA1.m: Main program for one-dimensional function optimization. This driver script initializes population parameters, runs the genetic algorithm iterations, and displays optimization results for 1D problems.

- Main_GA2.m: Main program for two-dimensional function optimization. The main controller handles 2D population initialization, fitness evaluation, and visualization of optimization progress.

- Main_GA3.m: Main program for three-dimensional function optimization. This comprehensive module manages the complete optimization workflow for 3D problems, including niche formation and multi-modal optimization capabilities.

The above list represents the complete set of code files referenced in the implementation.