Tito Homem-de-Mello
Universidad Adolfo Ibáñez
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The role of hydrogen for deep decarbonization of energy systems: A Chilean case study
Energy planning policies for residential and commercial sectors under ambitious global and local emissions objectives: A Chilean case study
Effective Scenarios in Multistage Distributionally Robust Optimization with a Focus on Total Variation Distance
A Simulation Optimization Approach for Appointment Scheduling Problem with Decision-Dependent Uncertainties
A Robust Short-Term Oil Production under a Bow-Tie Uncertainty Set for the Gas Lift Performance Curve
A Framework for Adaptive Open-Pit Mining Planning under Geological Uncertainty
Decomposition methods for Wasserstein-based data-driven distributionally robust problems
Adaptive open-pit mining planning under geological uncertainty
A Data-Driven Approach for a Class of Stochastic Dynamic Optimization Problems
An ADMM Algorithm for Two-Stage Stochastic Programming Problems
A Stochastic Optimization Model for Short-Term Production of Offshore Oil Platforms with Satellite Wells Using Gas Lift
A Machine Learning and Distributionally Robust Optimization Framework for Strategic Energy Planning under Uncertainty
Identifying Effective Scenarios in Distributionally Robust Stochastic Programs with Variation Distance
Designing Coalition-Based Fair and Stable Pricing Mechanisms under Private Information on Consumers' Reservation Prices
Controlling Risk and Demand Ambiguity in Newsvendor Models
Scenario Reduction for Stochastic Programs with Conditional Value-at-Risk
An Optimal Path Model for the Risk-Averse Traveler
Risk-Aversion in Multistage Stochastic Programming: A Modeling and Algorithmic Perspective
Finding Efficient and Environmentally Friendly Paths for Risk-Averse Freight Carriers
Chance-Constrained Problems and Rare Events: An Importance Sampling Approach
Learning and Pricing with Models that Do Not Explicitly Incorporate Competition
Stochastically Weighted Stochastic Dominance Concepts with an Application in Capital Budgeting
Monte Carlo Sampling-Based Methods for Stochastic Optimization
Article
Surveys in Operations Research and Management Science, 19: 56—85, 2014
Publication year: 2014
Some Large Deviations Results for Latin Hypercube Sampling
Article
Methodology and Computing in Applied Probability, 14(2): 203—232, 2012
Publication year: 2012
Optimal Path Problems with Second-Order Stochastic Dominance Constraints
Newsvendor-Type Models with Decision-Dependent Uncertainty
Improving Fleet Utilization for Carriers by Interval Scheduling
Dynamic Fleet Scheduling with Uncertain Demand and Customer Flexibility
Supply Chain Broker Operations: A Network Perspective
Sampling Strategies and Stopping Criteria for Stochastic Dual Dynamic Programming: A Case Study in Long-Term Hydrothermal Scheduling
Sample Average Approximation of Stochastic Dominance Constrained Programs
Risk Adjusted Budget Allocation Models with Application in Homeland Security
Re-Solving Stochastic Programming Models for Airline Revenue Management
Mathematical Programming Models for Revenue Management under Customer Choice
A Cutting Surface Method for Linear Programs with Polyhedral Stochastic Dominance Constraints
On Rates of Convergence for Stochastic Optimization Problems under Non-I.I.D. Sampling
Some Decomposition Methods for Revenue Management
A Study on the Cross-Entropy Method for Rare-Event Probability Estimation
Models of the Spiral-Down Effect in Revenue Management
Modeling Revenue Yield of Reservation Systems that Use Nested Capacity Protection Strategies
Solving the Vehicle Routing Problem with Stochastic Demands using the Cross Entropy Method
Variable-Sample Methods for Stochastic Optimization
Article
ACM Transactions on Modeling and Computer Simulation, 13: 108—133, 2003
Publication year: 2003