makeonecross

a vector of identifiers selected from the candidate set.

a vector of identifiers selected from the candidate set that has the same length as x1.

vector of identifiers for individuals in the candidate set.

Candidates

point mutation probability for each individual generated. Only one mutation per solution is allowed.

mutprob

mean of the poisson variable that is used to decide the number of mutations for each cross.

mutintensity

Given two training sets, identifiers for candidates, this function makes a new solution using crossover and one point mutation with probability mutprob. Only one mutation is allowed.

Combining Predictive Analytics and Experimental Design to Optimize Results. To be utilized to select a test data calibrated training population in high dimensional prediction problems and assumes that the explanatory variables are observed for all of the individuals. Once a "good" training set is identified, the response variable can be obtained only for this set to build a model for predicting the response in the test set. The algorithms in the package can be tweaked to solve some other subset selection problems.

makeonecross: Make a cross from two solutions and mutate.

Description

Usage

Arguments