where f is the objective function, x represents the decision variables, and Θ is the feasible region or constraint set. All of the chapters with the exception of the final one basically address this problem in some form. As in the deterministic optimization domain, one dichotomy is whether the decision variables are discrete (ordered or unordered, finite or infinite) or continuous, or a mixt…