Lucas Marcondes Pavelski
Lucas Marcondes Pavelski
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Conference paper
Journal article
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2021
2019
2018
2017
2016
2015
2014
2012
Josiel Neumann Kuk
,
Richard Aderbal Gonçalves
,
Lucas Marcondes Pavelski
,
Sandra Mara Guse Scós Venske
,
Carolina Paula de Almeida
,
Aurora Trinidad Ramirez Pozo
(2021).
An empirical analysis of constraint handling on evolutionary multi-objective algorithms for the Environmental/Economic Load Dispatch problem
.
Expert Systems with Applications
.
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DOI
Lucas Marcondes Pavelski
,
Myriam Regattieri Delgado
,
Marie-Éléonore Kessaci
(2019).
Meta-Learning on Flowshop Using Fitness Landscape Analysis
.
Proceedings of the Genetic and Evolutionary Computation Conference
.
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Lucas Marcondes Pavelski
,
Marie-Éléonore Kessaci
,
Myriam Regattieri Delgado
(2018).
Recommending Meta-Heuristics and Configurations for the Flowshop Problem via Meta-Learning: Analysis and Design
.
2018 7th Brazilian Conference on Intelligent Systems (BRACIS)
.
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DOI
Lucas Marcondes Pavelski
,
Myriam Regattieri Delgado
,
Marie-Éléonore Kessaci
(2018).
Meta-Learning for Optimization: A Case Study on the Flowshop Problem Using Decision Trees
.
2018 IEEE Congress on Evolutionary Computation (CEC)
.
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DOI
Richard A. Gonçalves
,
Lucas M. Pavelski
,
Carolina P. de Almeida
,
Josiel N. Kuk
,
Sandra M. Venske
,
Myriam R. Delgado
(2017).
Adaptive Operator Selection for Many-Objective Optimization with NSGA-III
.
Evolutionary Multi-Criterion Optimization
.
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Richard Gonçalves
,
Carolina Paula de Almeida
,
Sandra Mara Venske
,
Josiel Kuk
,
Lucas Pavelski
(2016).
Seleção Adaptativa de Operadores Aplicada ao Problema do Despacho Econ�mico de Energia Elétrica
.
Anais do XLIII Seminário Integrado de Software e Hardware
.
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DOI
Lucas M. Pavelski
,
Myriam R. Delgado
,
Carolina P. Almeida
,
Richard A. Gonçalves
,
Sandra M. Venske
(2016).
Extreme Learning Surrogate Models in Multi-objective Optimization based on Decomposition
.
Neurocomputing
.
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Lucas Marcondes Pavelski
(2015).
Otimização evolutiva multiobjetivo baseada em decomposição e assistida por máquinas de aprendizado extremo
.
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L. M. Pavelski
,
M. R. Delgado
,
Carolina Paula de Almeida
,
R. A. Gonçalves
,
S. M. Venske
(2014).
ELMOEA/D-DE: Extreme Learning Surrogate Models in Multi-objective Optimization Based on Decomposition and Differential Evolution
.
2014 Brazilian Conference on Intelligent Systems
.
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DOI
L. M. Pavelski
,
Carolina Paula de Almeida
,
R. A. Gonçalves
(2012).
Harmony Search for Multi-objective Optimization
.
2012 Brazilian Symposium on Neural Networks
.
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