Environment for development of methods applied to optimization problems

• Grant number: 11/15581-3
• Support Opportunities: Scholarships in Brazil - Master
• Effective date (Start): March 01, 2012
• Effective date (End): February 28, 2014
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Principal Investigator: Claudio Fabiano Motta Toledo
• Grantee: Márcio da Silva Arantes
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

This document aims to present a dissertation proposal to be developed in the Masters Program in Computer Science and Computational Mathematics of the ICMC / USP. The dissertation topic is the development of a computational tool to help professionals in the implementation of optimization methods and problems resolution. The tool can be framed as a framework for development and focuses primarily on guiding the implementation of computational methods, using as a paradigm the object-oriented programming. Thus, the objective is to facilitate and encourage the sharing and reuse of code and computing resources, easing the creation of codes using several programming languages, allowing the resolution of optimization problems with single and multi-objective, and enabling the implementation of exact, heuristic and metaheuristics methods. (AU)

Scientific publications

(4)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

MOTTA TOLEDO, CLAUDIO FABIANO; RIBEIRO DE OLIVEIRA, RENATO RESENDE; FRANCA, PAULO MORELATO. A hybrid multi-population genetic algorithm applied to solve the multi-level capacitated lot sizing problem with backlogging. Computers & Operations Research, v. 40, n. 4, p. 910-919, APR 2013. (10/10133-0, 11/15581-3, 11/15534-5)

MOTTA TOLEDO, CLAUDIO FABIANO; ARANTES, MARCIO DA SILVA; BRESSAN HOSSOMI, MARCELO YUKIO; ALMADA-LOBO, BERNARDO. Mathematical programming-based approaches for multi-facility glass container production planning. Computers & Operations Research, v. 74, p. 92-107, OCT 2016. (11/15581-3, 12/00997-2, 11/15534-5)

MOTTA TOLEDO, CLAUDIO FABIANO; ARANTES, MARCIO DA SILVA; BRESSAN HOSSOMI, MARCELO YUKIO; FRANCA, PAULO MORELATO; AKARTUNALI, KEREM. A relax-and-fix with fix-and-optimize heuristic applied to multi-level lot-sizing problems. Journal of Heuristics, v. 21, n. 5, p. 687-717, OCT 2015. (10/10133-0, 11/15581-3, 11/15534-5)

MOTTA TOLEDO, CLAUDIO FABIANO; ARANTES, MARCIO DA SILVA; RIBEIRO DE OLIVEIRA, RENATO RESENDE; ALMADA-LOBO, BERNARDO. Glass container production scheduling through hybrid multi-population based evolutionary algorithm. APPLIED SOFT COMPUTING, v. 13, n. 3, p. 1352-1364, MAR 2013. (10/10133-0, 11/15581-3, 11/15534-5)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

ARANTES, Márcio da Silva. Environment for developing methods applied to optimization problems. 2014. Master's Dissertation - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) São Carlos.