matlab-optimize-pcb-design

You optimize RF PCB component geometry by using the MATLAB RF PCB Toolbox built-in optimize() function, defining your objective, property bounds, and S-parameter constraints to automatically tune dimensions to meet bandwidth targets.

Yes, you can enforce S-parameter constraints by specifying string-threshold inequalities like S11 below a threshold and S21 above a threshold, applying feasibility checks across a scalar or vector frequency range during optimization.

The optimize() interface supports both global and local solvers, specifically sadea, trsadea, patternsearch, and surrogateopt, allowing you to balance return loss, insertion loss, and area tradeoffs effectively.

You set up surrogate optimization by formatting the selected properties and their bounds in the required cell-array format, then passing them to the optimize() interface to tune catalog-based coupler component dimensions.

You can maximize return loss, maximize bandwidth, minimize area, or use a custom objective function tied to EM results, enabling objective-driven tradeoffs when optimizing RF PCB splitters and similar components.

The built-in optimize() workflow is specifically designed for RF PCB components, handling S-parameter constraints and EM-based design objectives natively, which avoids slow, error-prone manual optimization loops required by generic optimizers.