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Surrogate models applied to the multiobjective combinatorial optimization problems with uncertainties

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

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