Research School for Socio-Economic and
Natural Sciences of the Environment
Research School for Socio-Economic and
Natural Sciences of the Environment
Agenda

Oscar Osvaldo Marquez Calvo

Date: 07 January 2020
Location: Westvest 7, 2611 AX Delft

Dissertation title: 

Advancing robust multi-objective optimisation applied to complex model-based water-related problems

Group: IHE Delft, Hydroinformatics
Promotor: Professor Dimitri Solomatine
Co-promotor: Dr. Leonardo Alfonso Segura

Abstract:

This research considers the problem of robust optimization, and develops the technique called Robust Optimization and Probabilistic Analysis of Robustness (ROPAR). It has been developed for finding robust optimum solutions of a particular class in model-based multi-objective optimization problems (i.e. when the objective function is not known analytically), where some of the parameters to this model are assumed to be uncertain. A Monte Carlo simulation framework is used. It can be straightforwardly implemented in a distributed computing environment. The technique is exemplified in three kinds of case studies: a) a benchmark problem commonly used to test multi-objective optimization algorithms, and b) design problem of storm drainage systems, and c) design problem of water distribution systems. It is shown that the design found by ROPAR can adequately cope with parameter uncertainties. The approach can be useful for assisting in a wide range of risk-based decisions.