Richard A. Gonçalves

Orcid: 0000-0001-9927-2177

Affiliations:
  • UNICENTRO, Guarapuava, Brazil


According to our database1, Richard A. Gonçalves authored at least 38 papers between 2007 and 2021.

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

Timeline

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Bibliography

2021
An empirical analysis of constraint handling on evolutionary multi-objective algorithms for the Environmental/Economic Load Dispatch problem.
Expert Syst. Appl., 2021

2020
Hyper-heuristics using multi-armed bandit models for multi-objective optimization.
Appl. Soft Comput., 2020

2019
Combining Fitness Landscape Analysis and Adaptive Operator Selection in Multi and Many-Objective Optimization.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem.
J. Heuristics, 2018

Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm.
Appl. Soft Comput., 2018

Boosting the Performance of MOEA/D-DRA with a Multi-Objective Hyper-Heuristic Based on Irace and UCB Method for Heuristic Selection.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A New Hyper-Heuristic Based on a Contextual Multi-Armed Bandit for Many-Objective Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A New Adaptive Operator Selection for NSGA-III Applied to CEC 2018 Many-Objective Benchmark.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

Multi-armed Bandit Based Hyper-Heuristics for the Permutation Flow Shop Problem.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
Adaptive Operator Selection for Many-Objective Optimization with NSGA-III.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

A Multi-Armed Bandit selection strategy for Hyper-heuristics.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

A Hyper-Heuristic in MOEA/D-DRA Using the Upper Confidence Bound Technique.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

Probabilistic Analysis of Pareto Front Approximation for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

A New Hyper-Heuristic Based on a Restless Multi-armed Bandit for Multi-objective Optimization.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016
Evolução Diferencial com ensemble de Operadores de Mutação em GPGPUs para o Despacho Econômico de Energia Elétrica.
RITA, 2016

Extreme Learning Surrogate Models in Multi-objective Optimization based on Decomposition.
Neurocomputing, 2016

ADEMO/D: An adaptive differential evolution for protein structure prediction problem.
Expert Syst. Appl., 2016

HMOBEDA: Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Adaptive Operator Selection in NSGA-III.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015
Decomposition Based Multiobjective Hyper Heuristic with Differential Evolution.
Proceedings of the Computational Collective Intelligence - 7th International Conference, 2015

MOEA/D-HH: A Hyper-Heuristic for Multi-objective Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Upper Confidence Bound (UCB) Algorithms for Adaptive Operator Selection in MOEA/D.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

A Hyper-Heuristic for the Environmental/Economic Dispatch Optimization Problem.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

A Multi-armed Bandit Hyper-Heuristic.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2014
ADEMO/D: Multiobjective optimization by an adaptive differential evolution algorithm.
Neurocomputing, 2014

ELMOEA/D-DE: Extreme Learning Surrogate Models in Multi-objective Optimization Based on Decomposition and Differential Evolution.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

Transgenetic Algorithms for the Multi-objective Quadratic Assignment Problem.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
Improved Cultural Immune Systems to solve the economic load dispatch problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

A Multiobjective Algorithm for Protein Structure Prediction Using Adaptive Differential Evolution.
Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012
An experimental analysis of evolutionary heuristics for the biobjective traveling purchaser problem.
Ann. Oper. Res., 2012

ADEMO/D: Adaptive Differential Evolution for Multiobjective Problems.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Harmony Search for Multi-objective Optimization.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Differential Evolution to Multi-objective Protein Structure Prediction.
Proceedings of the BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Vilamoura, Algarve, Portugal, 1, 2012

2010
A Transgenetic Algorithm for the bi-objective traveling purchaser problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2008
Warping search: a new metaheuristic applied to the protein structure prediction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007
TA-PFP: A Transgenetic Algorithm to Solve the Protein Folding Problem.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

A Cultural Immune System for Economic Load Dispatch with Non-smooth Cost Functions.
Proceedings of the Artificial Immune Systems, 6th International Conference, 2007

A Hybrid Immune-Based System for the Protein Folding Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2007


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