transform_simplex: Updates the simplex with obtained new values and proceed with...

In ingridas/EPICR: An Implementation of Efficient Pareto Iterative Classification Method

Description

Updates the simplex with obtained new values and proceed with the following simplex operation untill the new decision vector is generated and requires a function evaluation

Usage

transform_simplex(iter, L, U, con)

Arguments

iter	- a list conatining all the information related with the current algorithm iteration
L	- row vectors of lower bounds of the design space
U	- row vectors of upper bounds of the design space
con	- constraints, an analytical function cheap to evaluate, in a form g_i(x)>=0, if available; otherwise it is equal to FALSE

Value

an updated list with the information about the current EPIC algorithm iteration

ingridas/EPICR documentation built on May 18, 2019, 4:54 a.m.