Advanced Optimizers in ADE Assembler

The Advanced Optimization form in ADE Assembler lets you select the following optimizers:

• GRPR
  GPRP optimizer is a combination of genetic algorithm (GA) and Simulated Annealing (SA) with a surrogate model.
• Valhalla
  Valhalla is a combination of particle swarm optimization (PSO) and genetic algorithm (GA).
• Dakota
  Dakota provides advanced parametric analyses that enable design exploration, model calibration, risk analysis, and quantification of margins and uncertainty with computational models.
• Optuna
  Optuna is an open source hyperparameter optimization framework to automate hyperparameter search using Python. It searches large spaces and prune unpromising trials for faster results.
• Particle swarm optimization (PSO)
  PSO is a swarm or population-based algorithm. It optimizes a problem by iteratively trying to improve a candidate solution.

In addition, you can also write your custom optimization algorithm in C++ or Python.

The factor that determines how fast an optimization algorithm converges is the cost function, which depends on the circuit, measurements, specifications, and design space.

Related Topics

Hyperparameters of Valhalla Optimizer

Hyperparameters of Optuna Optimizer

Hyperparameters of Dakota Optimizer

Hyperparameters of Particle Swarm Optimizer

Example of Custom Optimization Algorithm

AOP Options Form

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