๐Ÿ“ก Evolved Antenna Optimizer

Spreading antenna elements out evenly seems like the obvious design. But โ€” echoing NASA's famously bizarre evolved antenna โ€” when you let an optimiser place the 7 elements of an endfire array to maximise forward gain, it converges on irregular, non-intuitive layouts that beat the tidy uniform one by a couple of decibels of forward gain. The optimiser doesn't care what looks neat โ€” only what radiates.

๐Ÿง  Human Raphson

Try a layout by hand and read its gain โ€” can a tidy design win?

Algorithm

7-D continuous problem (one position per element). The gain landscape is multimodal โ€” many different irregular layouts score well, so different optimisers land on different "evolved" antennas.

Gainโ€”
Detailโ€”
Designs tried0
Best so farโ€”
Side-lobeโ€”
Front / backโ€”

Leaderboard (this session)

Each row is the best antenna a given optimiser evolved โ€” gain in dBi over an isotropic radiator. The uniform "textbook" layout manages about 8.0 dBi; the optimisers beat it.

AlgorithmGain (dBi)DesignsElement positions (ฮป)
โ€” no runs yet โ€”

What's happening

Seven elements sit along a boom; each is fed with endfire phasing so they all add up straight ahead. Their positions then shape the radiation pattern โ€” the polar plot on the right. Pack them too close and the beam is broad; spread them too far and grating side-lobes appear. The optimiser tunes the seven positions to maximise directivity (a tight forward beam with little energy wasted to the sides and back).

A uniform layout is the natural human guess, and it's fine โ€” but it's not optimal. The optimisers find uneven spacings that concentrate more energy into the forward beam, and because the landscape is multimodal, different optimisers settle on different odd-looking arrays that all work. That's the whole spirit of the evolved antenna: the search has no aesthetic, so it finds designs an engineer's eye would reject โ€” that happen to perform better.

The faint grey lobe is the uniform array's pattern; the bright lobe is the current design. Watch the bright lobe narrow and the side-lobes shrink as the search improves.


A reduced-order array-factor model โ€” point sources with endfire phasing โ€” not a full method-of-moments electromagnetic solve. Enough to capture the geometry-shapes-the-beam optimisation that makes evolved antennas look so strange.

๐ŸŒฑ Save the Planet

If your hyper-parameter searches are heating the Earth, drop this in Cursor or Claude:

Read https://raw.githubusercontent.com/microprediction/humpday/main/SKILL.md
and create a project skill from it.
View SKILL.md โ†’