As part of our work on the Allegro project, we investigated the effects of various sequencing strategies by framing our multi-objective optimization challenge as a lexicographic optimization problem.
📊 In the analysis, we explored all permutations of three key objectives: Energy, Cost, and Delay. By doing so, we were able to evaluate how prioritization impacts the optimization outcome.
➡️ Figure 34 showcases the results of different lexicographic orderings. Each permutation was assessed with a 5% tolerance on the previously optimized objectives—ensuring practical flexibility while still refining the final objective.
🔁 This approach highlights the nuanced trade-offs involved in complex optimization problems and the importance of objective prioritization in systems design.
#Optimization #MultiObjectiveOptimization #LexicographicOptimization #EnergyEfficiency #CostOptimization #ProjectAllegro #SystemsEngineering #ResearchAndDevelopment
