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Mowflot T1.5: Optimization Strategy

Responsible: Ju Feng Deadline: late August but depends on how and what is parallelized in T1.4.

  • Critically evaluate how and when the load constraints should be calculated within the optimization. It is possible the current implementation can be speed-up. [WE]
  • TBD, Assignee #7
  • Investigate different optimization strategies and possible optimizers that have an OpenMDAO interface. [WE]
  • Scipy optimizers are implemented but not verified
  • Test and benchmark selected optimizers and optimization strategies (convergence rates, robustness, normalizing of input parameters, etc). [WE]
  • Benchmark optimizers #8
  • Optionally consider optimization strategies that start from an expert defined initial guess and returns an answer within a user defined time period. [WE, GW]
  • Decide if this is a priority or not. #10
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Reference: TOPFARM%"Mowflot T1.5: Optimization Strategy"