ANN + Simulated Annealing reproduction package for wideband patch antenna optimization
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Updated
Jun 8, 2026 - Python
ANN + Simulated Annealing reproduction package for wideband patch antenna optimization
This repository contains an evolutionary approach to solving the Antenna Problem. The Antenna Problem involves finding the optimal configuration and placement of a set of antennas to achieve maximum users' satisfaction (Internet signal and speed in this case) in a given area.
Antennenoptimierung mittels Gradientenabstieg (Antenna Optimization using Gradient Descent)
Physics-constrained deep learning framework for real-time inverse design of patch antennas. Achieves sub-millimeter accuracy and 20x faster predictions than traditional EM simulations. Includes beginner-friendly Google Colab demo.
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