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Category - Scripts & Optimizers

Explore scripts and optimization tools that interface with AN-SOF, allowing users to run parametric simulations and perform antenna design optimizations.

Articles

Nelder-Mead Optimization for Antenna Design Using the AN-SOF Engine and Scilab
This article presents a Nelder-Mead optimization workflow for antenna design using AN-SOF Engine and Scilab. We demonstrate automated Yagi-Uda tuning via weighted cost functions, covering script implementation, NEC file modification, and result analysis for VSWR, gain, and front-to-back ratio optimization.
Evolving Better Antennas: A Genetic Algorithm Optimizer Using AN-SOF and Scilab
Learn to optimize antennas with genetic algorithms using AN-SOF and Scilab. Includes ready-to-use scripts for population evolution and cost functions targeting gain, VSWR, and front-to-back ratio in a 3-element Yagi-Uda design.
Building Effective Cost Functions for Antenna Optimization: Weighting, Normalization, and Trade-offs
Master cost function design for antenna optimization: weighting strategies, parameter normalization, and performance trade-offs. Practical methods to balance gain, VSWR, and impedance matching in your designs.
Element Spacing Simulation Script for Yagi-Uda Antennas
This guide explains how to run a script in Scilab to simulate a 3-element Yagi-Uda antenna and get the results as a function of the spacing between the elements. A second script allows us to plot the antenna gain versus element spacing.
Automating 2-Element Quad Array Design: Scripting and Bulk Processing in AN-SOF
Struggling to design optimal 2-element quad arrays? This article explores automating the process using Scilab scripts and AN-SOF's bulk processing. Generate & simulate multiple configurations with varying element spacing, saving time and uncovering potential performance improvements!