Route Summary ?

Storage Note

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Technologies used: HTML5, CSS3, JavaScript (ES6), Plotly.js, Tesseract.js and a custom genetic algorithm.

Based on the work of SigmaPrimer — thanks to him.

Tool Guide

Purpose: Plan an optimal multi-mission cargo route across supported star systems, minimizing travel distance while respecting ship capacity.

Workflow

1. Select System: Choose a star system (or Combined) at the top of the sidebar.
2. Set Starting Location & Capacity: Enter your ship cargo capacity and select where you begin.
3. Add Missions: Use mission type selector; fill fields or import via screenshot OCR.
4. Review Added Missions: Edit or delete from the Added Missions list.
5. Tune GA Parameters: Hover / focus the '?' icons for detailed parameter descriptions.
6. Calculate: Press Calculate (top bar). The button becomes Cancel while running.
7. Follow Progress: The global progress bar shows percentage; interim best routes may display.
8. Use Route Summary: Follow pickups/drop-offs, tick off delivered cargo, add storage notes.

GA Parameters Quick Reference

• Population Size: More candidates → better exploration, slower.
• Generations: More refinement steps.
• Mutation Rate: Diversity vs stability (0–1).
• Runs: Independent full searches; best final route kept.

Tips

• Start modest (Pop 100, Gen 100) then scale.
• Higher mutation (0.4–0.6) helps early exploration; lower (0.1–0.3) stabilizes later.