In our latest analysis within the Allegro project, we dove deeper into how objective prioritization influences optimization outcomes.
🧠From the charts, one pattern is unmistakable:
- The primary objective (first in the lexicographic order) consistently achieves the lowest values, as it’s optimized without compromise.
- The second objective tends to have slightly higher values, but remains within a controlled range—thanks to the applied tolerance.
- The third objective typically reflects the highest values, being the most constrained by the outcomes of the first two.
These findings reinforce the importance of strategic sequencing in multi-objective optimization. Setting the right priority order isn’t just a technical choice—it’s a design decision that shapes real-world performance.
#ProjectAllegro #OptimizationStrategy #LexicographicOptimization #SystemsEngineering #EnergyEfficiency #DesignTradeoffs #R&D
