Surrogate models applied to the multiobjective combinatorial optimization problems with uncertainties

• Grant number: 16/01764-2
• Support Opportunities: Scholarships abroad - Research
• Start date: January 02, 2017
• End date: July 09, 2017
• Field of knowledge: Engineering - Production Engineering - Operational Research
• Principal Investigator: Luiz Leduíno de Salles Neto
• Grantee: Luiz Leduíno de Salles Neto
• Host Investigator: Alexandre Engau
• Host Institution: Instituto de Ciência e Tecnologia (ICT). Universidade Federal de São Paulo (UNIFESP). Campus São José dos Campos. São José dos Campos , SP, Brazil
• Institution abroad: University of Colorado, Denver (CU), United States

Abstract

Many important problems in production planning or transport can be modeled such as multiobjective combinatorial optimization problems in wich the objective is to obtain efficient solutions in relation to two or more goals in a discrete search space. In many real problems, the parameters are stochastic, for example, orders in a cutting stock problem, or containers that will be loaded onto the vessel that travels a route of ports. This project aims to develop models and methods for these hard and important problems through surrogate model. (AU)