Architecture Overview#
This section provides an overview of the architecture of the PrismBO software, illustrating the key components and workflows involved in its operation.
System Architecture#
The following diagram provides a high-level view of the entire system architecture of PrismBO, showing the interaction between various components.
Workflow#
The workflow for using PrismBO is illustrated below. This diagram shows the typical steps a user would follow when working with PrismBO, from defining the problem to obtaining the optimization results.
Optimizer Architecture#
PrismBO includes different optimization algorithms. The following diagram highlights the difference between the standard Bayesian Optimization (BO) and Transfer Learning for Bayesian Optimization (TLBO).
### BO vs. Transfer BO
### Optimizer Workflow
The diagram below illustrates the workflow of the optimizer component within PrismBO, showing how it integrates with other system components.
Data Management#
Data management is a critical component of PrismBO, handling the storage, retrieval, and processing of data required for optimization tasks. The following diagram provides an overview of how data is managed within the system.
Conclusion#
The architecture of PrismBO is designed to be modular and flexible, allowing for easy integration of new algorithms and data management strategies. This overview provides a snapshot of the system’s key components and their interactions, setting the stage for more detailed exploration in subsequent sections.