Global Multi-Objective Stochastic Optimization: Error Bounds and Convergence Rates
Consider the context of solving a multi-objective stochastic optimization problem with one or more continuous objective functions to global optimality on a compact feasible set. For a simple algorithm that consists of selecting a finite set of feasible points using a space-filling design, expending the same number of simulation replications at each point to estimate … Read more