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Carolina P. de Almeida
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2020 – today
- 2024
- [j9]Sandra Mara Guse Scós Venske
, Carolina Paula de Almeida
Metaheuristics and machine learning: an approach with reinforcement learning assisting neural architecture search. J. Heuristics 30(3-4): 199-224 (2024) - 2022
- [j8]Sandra M. Venske
Selection hyper-heuristics for the multi and many-objective quadratic assignment problem. Comput. Oper. Res. 148: 105961 (2022) - 2021
- [j7]Josiel Neumann Kuk, Richard Aderbal Gonçalves, Lucas Marcondes Pavelski
An empirical analysis of constraint handling on evolutionary multi-objective algorithms for the Environmental/Economic Load Dispatch problem. Expert Syst. Appl. 165: 113774 (2021) - [c25]Bianca N. K. Senzaki
Hyper-Heuristic Based NSGA-III for the Many-Objective Quadratic Assignment Problem. BRACIS (1) 2021: 170-185 - [c24]Sandra M. Venske
Comparing Selection Hyper-Heuristics for Many-Objective Numerical Optimization. CEC 2021: 1921-1928 - 2020
- [j6]Carolina P. de Almeida
Hyper-heuristics using multi-armed bandit models for multi-objective optimization. Appl. Soft Comput. 95: 106520 (2020) - [c23]Bianca N. K. Senzaki
Multi-objective Quadratic Assignment Problem: An Approach Using a Hyper-Heuristic Based on the Choice Function. BRACIS 2020: 136-150
2010 – 2019
- 2018
- [j5]Marcella S. R. Martins
Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm. Appl. Soft Comput. 73: 328-343 (2018) - [j4]Marcella S. R. Martins
Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem. J. Heuristics 24(1): 25-47 (2018) - [c22]Josiel Neumann Kuk
A New Adaptive Operator Selection for NSGA-III Applied to CEC 2018 Many-Objective Benchmark. BRACIS 2018: 7-12 - [c21]Carolina P. de Almeida
Multi-armed Bandit Based Hyper-Heuristics for the Permutation Flow Shop Problem. BRACIS 2018: 139-144 - [c20]Richard A. Gonçalves
A New Hyper-Heuristic Based on a Contextual Multi-Armed Bandit for Many-Objective Optimization. CEC 2018: 1-8 - [c19]Lucas Prestes, Myriam Regattieri Delgado, Ricardo Lüders
Boosting the Performance of MOEA/D-DRA with a Multi-Objective Hyper-Heuristic Based on Irace and UCB Method for Heuristic Selection. CEC 2018: 1-8 - 2017
- [c18]Marcella Scoczynski Ribeiro Martins
Probabilistic Analysis of Pareto Front Approximation for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm. BRACIS 2017: 384-389 - [c17]Richard Aderbal Gonçalves
A New Hyper-Heuristic Based on a Restless Multi-armed Bandit for Multi-objective Optimization. BRACIS 2017: 390-395 - [c16]Lucas Prestes, Myriam Regattieri de Biase da Silva Delgado, Richard Aderbal Gonçalves
A Hyper-Heuristic in MOEA/D-DRA Using the Upper Confidence Bound Technique. BRACIS 2017: 396-401 - [c15]Richard A. Gonçalves
Adaptive Operator Selection for Many-Objective Optimization with NSGA-III. EMO 2017: 267-281 - 2016
- [j3]Lucas M. Pavelski
Extreme Learning Surrogate Models in Multi-objective Optimization based on Decomposition. Neurocomputing 180: 55-67 (2016) - [j2]Gustavo H. Czaikoski, Paulo R. Urio, Richard A. Gonçalves
Evolução Diferencial com ensemble de Operadores de Mutação em GPGPUs para o Despacho Econômico de Energia Elétrica. RITA 23(2): 10-32 (2016) - [c14]Richard A. Gonçalves, Carolina P. de Almeida
Adaptive Operator Selection in NSGA-III. BRACIS 2016: 181-186 - [c13]Marcella S. R. Martins
HMOBEDA: Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm. GECCO 2016: 357-364 - 2015
- [c12]Richard A. Gonçalves
A Hyper-Heuristic for the Environmental/Economic Dispatch Optimization Problem. BRACIS 2015: 7-12 - [c11]Richard A. Gonçalves
MOEA/D-HH: A Hyper-Heuristic for Multi-objective Problems. EMO (1) 2015: 94-108 - [c10]Richard A. Gonçalves
Upper Confidence Bound (UCB) Algorithms for Adaptive Operator Selection in MOEA/D. EMO (1) 2015: 411-425 - [c9]Richard A. Gonçalves
Decomposition Based Multiobjective Hyper Heuristic with Differential Evolution. ICCCI (2) 2015: 129-138 - 2014
- [c8]Carolina Paula de Almeida
Transgenetic Algorithms for the Multi-objective Quadratic Assignment Problem. BRACIS 2014: 312-317 - [c7]Lucas M. Pavelski
ELMOEA/D-DE: Extreme Learning Surrogate Models in Multi-objective Optimization Based on Decomposition and Differential Evolution. BRACIS 2014: 318-323 - 2013
- [b1]Carolina Paula de Almeida:
Transgenética computacional aplicada a problemas de otimização combinatória com múltiplos objetivos. Federal University of Technology - Paraná, Brazil, 2013 - [c6]Richard A. Gonçalves
Improved Cultural Immune Systems to solve the economic load dispatch problems. IEEE Congress on Evolutionary Computation 2013: 621-628 - 2012
- [j1]Carolina P. de Almeida
An experimental analysis of evolutionary heuristics for the biobjective traveling purchaser problem. Ann. Oper. Res. 199(1): 305-341 (2012) - [c5]Lucas M. Pavelski
Harmony Search for Multi-objective Optimization. SBRN 2012: 220-225 - 2010
- [c4]Carolina P. de Almeida
A Transgenetic Algorithm for the bi-objective traveling purchaser problem. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2007
- [c3]Carolina P. de Almeida
A Hybrid Immune-Based System for the Protein Folding Problem. EvoCOP 2007: 13-24 - [c2]Richard A. Gonçalves, Carolina P. de Almeida
A Cultural Immune System for Economic Load Dispatch with Non-smooth Cost Functions. ICARIS 2007: 382-394 - [c1]Carolina P. de Almeida, Richard A. Gonçalves
TA-PFP: A Transgenetic Algorithm to Solve the Protein Folding Problem. ISDA 2007: 163-168
Coauthor Index
aka: Myriam Regattieri de Biase da Silva Delgado
aka: Richard Aderbal Gonçalves
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