Inexact Restoration for Inaccurate Optimization Problems

• Grant number: 24/03354-2
• Support Opportunities: Scholarships in Brazil - Master
• Start date: September 01, 2024
• Status: Discontinued
• Field of knowledge: Physical Sciences and Mathematics - Mathematics - Applied Mathematics
• Principal Investigator: Luis Felipe Cesar da Rocha Bueno
• Grantee: Matheus Fideles Leite
• 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
• Associated research grant: 18/24293-0 - Computational methods in optimization, AP.TEM
• Associated scholarship(s): 25/01919-5 - Inexact Restoration in Stochastic Optimization, BE.EP.MS

Abstract

This project will present research alternatives on computational optimization methods for problems whose restrictions and objective function cannot be accurately evaluated. Our focus with this project in on the study of already existing Inexact Restoration strategies for this category of problems and the development of more efficient strategies that require less restrictive hypotheses to guarantee the results of convergence and well definition. The student will study the references and collaborate with adaptations to the methods studied, and is also expected to implement the proposed methods and analyze the obtained results.