Greater Unknown: Algorithm-Based Universe Generation

Greetings, conquerors of the universe.

Although the universe generation in SSW1 was decent, it was not algorithm-based—purely random. Now that the server engine has been switched to Python, it’s time to unleash its potential.

Currently, the reset version’s universe generation is half complete. Here’s an overview of the progress and changes.

Galaxy Distribution

Previously, star systems—i.e., points on the map—were placed “randomly,” but to reduce computation, some predictable premises were added. Moreover, single-layer randomness led to a lack of map variation.

Now the galaxy will be completely randomly placed via algorithms, with endless variety in position and morphology. “Storm zones” have been added, creating large empty areas similar to mountain ranges that block movement and form terrain.

Star System Clusters

Star systems will cluster more densely through algorithms, forming island-mine-like regions spread across the entire galaxy. These will create important chokepoint routes.

More Natural and Unpredictable Star Gates

Star gates are no longer simply linked to surrounding ones; instead, algorithms create more natural connections. A visual comparison might be clearer.

Previously, star gates were relatively regular, but now they are much harder to predict.

Diverse Generation Modes

Of course, the modes mentioned above can be combined or omitted. The server will generate these automatically, creating a variety of map patterns.

This is the current progress. With Python, the possibilities are very flexible. There may be even more changes in the future—stay tuned.