getObjective: Computing Objective Function Values
In garylin2099/GA: Genetic Algorithm for Variable Selection in Regression

getObjective returns a poolSize by 1 vector indicating the objective function value for each chromosome in the pool

1	getObjective(X, y, pool, objectiveFunction, regressionType, nCores)

`X`	design matrix, in a dataframe or matrix
`y`	a vector of responses
`pool`	a matrix of booleans representing the chromosome pools
`objectiveFunction`	accepts a function object to specify objective function. If provided by user, the function must be able to take glm object as input and return a numeric scalar.
`regressionType`	a character string defining the distribution family.
`nCores`	number of cores to use in evaluating the objective function value for each chromosome. If value is greater than 1, the evaluation is executed in parallel.