Purpose

What a Senior Developer Couldn't Do

Wire routing with simultaneous constraints (weight, EMI, thermal) is NP-hard. No exact solution exists. Genetic algorithms EVOLVE good solutions. Click "Step 10 Generations" to watch fitness improve as the algorithm finds better bundle assignments.

The Algorithm

Genetic Algorithm

1. Population of candidate bundle assignments

2. Evaluate fitness (lower = better)

3. Select parents (tournament)

4. Crossover + mutation -> children

5. Repeat until convergence

Fitness Function

f = total_length + 2 * EMI_conflicts

Colors show bundle assignment. The optimizer separates conflicting wires into different bundles.

Key Insight: This is RESEARCH-LEVEL work. Most wire routing in industry is manual. Applying evolutionary computation to harness optimization is the kind of feature Artifact's AI copilot would implement. You just built a prototype of it.

Historical

John Holland (1929-2015)
Invented genetic algorithms (1970s). "Adaptation in Natural and Artificial Systems" (1975). Wire routing optimization first attempted for PCB layout in the 1980s. Aerospace harness optimization is still largely MANUAL -- the opportunity is now.

References

Eiben & Smith, Introduction to Evolutionary Computing | Goldberg, Genetic Algorithms in Search | Deb, Multi-Objective Optimization (NSGA-II)