SU-CS361 Multi-Objective Optimization, Sampling, Surrogates

Multi-Objective Optimization Pareto Optimality Pareto Frontier Solving for it Constraint Method Lexicographic Method Weighted Method Goal Programming Utopia Point Multi-Objective Population Method Classic method Non-Dominating Ranking Pareto filter Niche Technique Preference Elicitation Sampling Plans Full Factorial Random Sampling Uniform Projection Stratified Sampling Space-Filling Metrics Pairwise Distances Morris-Mitchell Space-Filling Subset Surrogate Models Linear Model Basis Functions Regularization Probabilistic Surrogate Models Gaussian Process squared exponential kernel Surrogate Optimization Prediction Based Exploration Error Based Exploration Lower Confidence Bound Exploration Probability of Improvement Exploration and Expected Improvement Exploration optimization uncertainty set-based uncertainty probabilistic uncertainty uncertainty expected value optimization uncertainty variance optimization