Personal information

Other IDs

Scopus Author ID: 55575774600

Keywords

Optimization, Machine Learning

Countries

Brazil

Activities

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Employment (3)

Sidia Instituto de Ciência e Tecnologia: Manaus, Amazonas, BR

2021-11-17 to 2022-11-17 | Data Scientist (Retail Management Service)
Employment
Source: Self-asserted source
Lucas Marcondes Pavelski

Universidade Federal do Paraná: Curitiba, PR, BR

2017-08-01 to 2021-11-16 | IT Systems Analyst (Centro de Computação e Eletrônica)
Employment
Source: Self-asserted source
Lucas Marcondes Pavelski

Universidade Estadual do Centro-Oeste: Guarapuava, PR, BR

2015-01-01 to 2016-12-31 | Professor (Computer Science)
Employment
Source: Self-asserted source
Lucas Marcondes Pavelski

Education and qualifications (3)

Federal University of Technology – Paraná: Curitiba, Paraná, BR

2017-03-01 to 2021-12-13 | PhD (Graduate Program in Electrical and Computer Engineering)
Education
Source: Self-asserted source
Lucas Marcondes Pavelski

Federal University of Technology – Paraná: Curitiba, BR

2013-03-01 to 2015-03-01 | Msc (Graduate Program in Electrical and Computer Engineering)
Education
Source: Self-asserted source
Lucas Marcondes Pavelski

Universidade Estadual do Centro-Oeste: Guarapuava, PR, BR

2009-01-01 to 2013-12-31 | Bachelor (Computer Science)
Education
Source: Self-asserted source
Lucas Marcondes Pavelski

Works (19)

Stochastic local search and parameters recommendation: a case study on flowshop problems

International Transactions in Operational Research
2023-03 | Journal article
DOI: 10.1111/itor.12922
Contributors: Lucas M. Pavelski; Myriam Delgado; Marie‐Éléonore Kessaci; Alex A. Freitas
Source: check_circle
Crossref

A Novel Multi-objective Decomposition Formulation for Per-Instance Configuration

2022 | Book chapter
DOI: 10.1007/978-3-031-21686-2_23
Contributors: Lucas Marcondes Pavelski; Myriam Regattieri Delgado; Marie-Éléonore Kessaci
Source: check_circle
Crossref

A real-world case study for automated ticket team assignment using natural language processing and explainable models

2022-10-10 | Conference paper
DOI: 10.1145/3551349.3561164
Contributors: Lucas Marcondes Pavelski; Rodrigo de Souza Braga
Source: check_circle
Crossref

An evolutionary search algorithm for efficient ResNet-based architectures: a case study on gender recognition

2022 IEEE Congress on Evolutionary Computation (CEC)
2022-07-18 | Conference paper
DOI: 10.1109/cec55065.2022.9870434
Contributors: Lucas Marcondes Pavelski
Source: Self-asserted source
Lucas Marcondes Pavelski

An experience report on how remote device access tools helped mobile developers during the COVID-19 pandemic

Proceedings of the International Conference on Software and System Processes and International Conference on Global Software Engineering
2022-05-19 | Conference paper
DOI: 10.1145/3529320.3529334
Contributors: Lucas Marcondes Pavelski
Source: Self-asserted source
Lucas Marcondes Pavelski

An empirical analysis of constraint handling on evolutionary multi-objective algorithms for the Environmental/Economic Load Dispatch problem

Expert Systems with Applications
2021 | Journal article
DOI: 10.1016/j.eswa.2020.113774
EID:

2-s2.0-85089505807

Part of ISBN:

09574174
Contributors: Kuk, J.N.; Gonçalves, R.A.; Pavelski, L.M.; Guse Scós Venske, S.M.; de Almeida, C.P.; Ramirez Pozo, A.T.
Source: Self-asserted source
Lucas Marcondes Pavelski via Scopus - Elsevier

Dynamic Learning in Hyper-Heuristics to Solve Flowshop Problems

Intelligent Systems
2021 | Book chapter
DOI: 10.1007/978-3-030-91702-9_11
Part of ISBN: 9783030917012
Part of ISBN: 9783030917029
Part of ISSN: 0302-9743
Part of ISSN: 1611-3349
Source: Self-asserted source
Lucas Marcondes Pavelski
grade
Preferred source (of 2)‎

Flowshop NEH-Based Heuristic Recommendation

2021 | Book chapter
DOI: 10.1007/978-3-030-72904-2_9
Contributors: Lucas Marcondes Pavelski; Marie-Éléonore Kessaci; Myriam Delgado
Source: check_circle
Crossref

Per-instance algorithm configuration: from meta-learning to multi-objective decomposition

2021-12-13 | Dissertation or Thesis
Contributors: Lucas Marcondes Pavelski
Source: Self-asserted source
Lucas Marcondes Pavelski

Local Optima Network Sampling for Permutation Flowshop

2021 IEEE Congress on Evolutionary Computation (CEC)
2021-06-28 | Conference paper
DOI: 10.1109/cec45853.2021.9504690
Source: Self-asserted source
Lucas Marcondes Pavelski

Meta-learning on flowshop using fitness landscape analysis

Proceedings of the Genetic and Evolutionary Computation Conference on - GECCO '19
2019 | Conference paper
DOI: 10.1145/3321707.3321846
ISBN: 9781450361118
Source: Self-asserted source
Lucas Marcondes Pavelski
grade
Preferred source (of 2)‎

Recommending Meta-Heuristics and Configurations for the Flowshop Problem via Meta-Learning: Analysis and Design

2018 7th Brazilian Conference on Intelligent Systems (BRACIS)
2018-10 | Conference paper
DOI: 10.1109/bracis.2018.00036
ISBN: 9781538680230
Source: Self-asserted source
Lucas Marcondes Pavelski
grade
Preferred source (of 2)‎

Meta-Learning for Optimization: A Case Study on the Flowshop Problem Using Decision Trees

2018 IEEE Congress on Evolutionary Computation (CEC)
2018-07 | Conference paper
DOI: 10.1109/cec.2018.8477664
ISBN: 9781509060177
Source: Self-asserted source
Lucas Marcondes Pavelski
grade
Preferred source (of 2)‎

Adaptive operator selection for many-objective optimization with NSGA-III

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017 | Book
DOI: 10.1007/978-3-319-54157-0_19
EID:

2-s2.0-85014211444
Contributors: Gonçalves, R.A.; Pavelski, L.M.; de Almeida, C.P.; Kuk, J.N.; Venske, S.M.; Delgado, M.R.
Source: Self-asserted source
Lucas Marcondes Pavelski via Scopus - Elsevier

Adaptive Operator Selection in NSGA-III

Proceedings - 2016 5th Brazilian Conference on Intelligent Systems, BRACIS 2016
2017 | Conference paper
DOI: 10.1109/BRACIS.2016.042
EID:

2-s2.0-85015211873
Contributors: Goncalves, R.A.; Almeida, C.P.; Pavelski, L.M.; Venske, S.M.; Kuk, J.N.; Pozo, A.T.
Source: Self-asserted source
Lucas Marcondes Pavelski via Scopus - Elsevier

A Hyper-Heuristic for the Environmental/Economic Dispatch Optimization Problem

Proceedings - 2015 Brazilian Conference on Intelligent Systems, BRACIS 2015
2016 | Conference paper
DOI: 10.1109/BRACIS.2015.43
EID:

2-s2.0-84964666627
Contributors: Goncalves, R.A.; Almeida, C.P.; Venske, S.M.; Kuk, J.N.; Pavelski, L.M.; Delgado, M.R.
Source: Self-asserted source
Lucas Marcondes Pavelski via Scopus - Elsevier

Extreme Learning Surrogate Models in Multi-objective Optimization based on Decomposition

Neurocomputing
2016 | Journal article
DOI: 10.1016/j.neucom.2015.09.111
EID:

2-s2.0-84958063401
Contributors: Pavelski, L.M.; Delgado, M.R.; Almeida, C.P.; Gonçalves, R.A.; Venske, S.M.
Source: Self-asserted source
Lucas Marcondes Pavelski via Scopus - Elsevier

ELMOEA/D-DE: Extreme learning surrogate models in multi-objective optimization based on decomposition and differential evolution

Proceedings - 2014 Brazilian Conference on Intelligent Systems, BRACIS 2014
2014 | Conference paper
DOI: 10.1109/BRACIS.2014.64
EID:

2-s2.0-84922575922
Contributors: Pavelski, L.M.; Delgado, M.R.; De Almeida, C.P.; Gonçalves, R.A.; Venske, S.M.
Source: Self-asserted source
Lucas Marcondes Pavelski via Scopus - Elsevier

Harmony search for multi-objective optimization

Proceedings - Brazilian Symposium on Neural Networks, SBRN
2012 | Conference paper
DOI: 10.1109/SBRN.2012.19
EID:

2-s2.0-84873147993
Contributors: Pavelski, L.M.; Almeida, C.P.; Goncalves, R.A.
Source: Self-asserted source
Lucas Marcondes Pavelski via Scopus - Elsevier

Peer review (1 review for 1 publication/grant)

Review activity for Applied intelligence. (1)
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