Moment Method Computation Using Genetic Algorithm Optimization

This document presents a computational program that integrates genetic algorithm optimization with the moment method for antenna structure design. The program implements a fitness function that evaluates antenna performance parameters such as radiation patterns and impedance matching, while the genetic algorithm module handles population initialization, selection, crossover, and mutation operations to evolve optimal antenna geometries. Through automated optimization of antenna structures, the program assists users in comprehensively understanding and improving antenna performance characteristics. Additionally, the implementation includes visualization components that generate graphical representations of optimization results, enabling users to intuitively analyze the enhanced antenna configurations. The computational approach employs matrix solving techniques for electromagnetic analysis and evolutionary algorithms for structural optimization, providing users with deeper insights into the antenna optimization process and facilitating practical performance improvements in real-world applications.