KARDASHEV
.AI
Constellation Optimizer v2.0
KARDASHEV
.AI
IDLE
CONSTELLATION OPTIMIZER v2.0
Scenarios
Unoptimized Baseline
Random orbital distribution — no AI
AI Optimization
Multi-objective reinforcement learning
Uniform Grid
Evenly-spaced orbital shells
Parameters
Constellation Size
150
Orbital Altitude (km)
550
Failure Rate (%)
0
Space Weather
G0 — QUIET
Kp 1.0
Beam Attenuation:
0.0
dB
Trigger Solar Storm
Simulate Kp 8.0 geomagnetic storm
Legend
Unoptimized element
AI-optimized element
Failed / destroyed
Protected (storm)
Energy transmission beam
Earth receiver (rectenna)
Energy Output
0.0
PW
Capture Efficiency
0%
Beam Utilization
0%
Constellation Health
Active Elements
150/150
Optimized
0
Pre-AI Collisions
0
Post-AI Collisions
0
Cascade Risk
Low
Resilience
—
AI Algorithm
Method
Multi-Objective RL
Architecture
Hierarchical
Training Steps
0
Avg Reward
0.0
Exploration Rate
0.300
Replay Buffer
0
Convergence
No
Energy History
Reset
▶ Start AI Optimization
Inject Failure
Compare Scenarios
Scenario Report
×