Experiment Concept

DoomSat uses a well-understood computational benchmark, the game Doom, to measure adaptive optimization in orbit. Radiation levels are measured during flight, and mutation behavior within the Genetic Algorithm is influenced by real-time radiation conditions

Rather than treating radiation as a disturbance to correct, the system incorporates it as a source of variability, enabling continuous improvement in performance over time.

This approach provides:

• A repeatable performance metric

• A complex but defined computational problem<
• Measurable improvement over time under environmental stress

What We Are Demonstrating

DoomSat tests

• Genetic Algorithms executing on radiation-tolerant flight hardware
• Evolutionary computation leveraging radiation-exposed memory
• Mutation behavior influenced by measured radiation conditions
• Hardware and software control within the orbital radiation environment
• Performance improvement driven by radiation-induced memory variation

Spacecraft Capabilities

• Genetic Algorithms executing on radiation-tolerant flight hardware

• Evolutionary computation leveraging radiation-exposed memory

• Mutation behavior influenced by measured radiation conditions

• Hardware and software control within the orbital radiation environment

• Performance improvement driven by radiation-induced memory variation

Development Status

Currently in the Design and Build phase.

Technical Updates

Receive periodic mission and development updates.

Submissions are sent directly to our team.

The Alabama CubeSat Initiative supports the DoomSat mission by providing workforce development opportunities to university students throughout Alabama.