pymoto.minimize_slp

pymoto.minimize_slp(variables: Signal | Iterable[Signal], responses: Signal | Iterable[Signal], function: Module = None, maxit: int = 100, tolx: float = 0.0001, tolf: float = 0.0001, **kwargs)

Sequential linear programming optimization algorithm

Parameters:

• variables – One or more variable Signals defining the design variables

• responses – One or more response Signals, where the first is to be minimized and the others are constraints in negative null form.

Keyword Arguments:

• function (optional) – The Network defining the optimization problem

• maxit – Maximum number of iterations

• tolx – Stopping criterium for relative design change

• tolf – Stopping criterium for relative objective change

• **kwargs – Arguments passed to pymoto.SLP