Giovanni Pires

Orcid: 0000-0003-1998-0304

According to our database1, Giovanni Pires authored at least 12 papers between 2003 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2021
A Modified NSGA-DO for Solving Multiobjective Optimization Problems.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2020
Genetic Learning Analysis of Fuzzy Rule-Based Classification Systems Considering Data Reduction.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2017
Aplicação de Algoritmos Evolutivos Multiobjetivo na Seleção de Instâncias.
Proceedings of the 13th Brazilian Symposium on Information Systems, 2017

2016
Automated Fuzzy System Based on Feature Extraction and Selection for Opinion Classification Across Different Domains.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2016

2015
Building a Fuzzy System for Opinion Classification Across Different Domains.
Proceedings of the Workshop on Fuzzy Logic in AI, 2015

2010
Neurogenetic Approach for Solving Dynamic Programming Problems.
Proceedings of the Artifical Intelligence and Soft Computing, 2010

2008
Neurogenetic approach for solving dynamic programming problems.
Proceedings of the IEEE International Conference on Systems, 2008

Solving Shortest Path Problem Using Hopfield Networks and Genetic Algorithms.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

A Neurogenetic Approach and its Application to Constrained Nonlinear Convex Optimization Problems with Joint and Disjoint Feasible Regions.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2004
Genetic learning of fuzzy rules applied to sequencing problem of FMS.
Proceedings of the IEEE International Conference on Systems, 2004

Genetic Learning and Optimization of Fuzzy Sets in Fuzzy Rule-Based System.
Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004

2003
A real time production sequencing rule for machines of a FMS using fuzzy logic.
Proceedings of the IEEE International Conference on Systems, 2003


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