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ADEMO/D: An adaptive differential evolution for protein structure prediction problem

Expert systems with applications, 2016-09, Vol.56, p.209-226

2016

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ADEMO/D: Multiobjective optimization by an adaptive differential evolution algorithm

Neurocomputing (Amsterdam), 2014-03, Vol.127, p.65-77

2014

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

Neurocomputing (Amsterdam), 2016-03, Vol.180, p.55-67

2016

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An experimental analysis of evolutionary heuristics for the biobjective traveling purchaser problem

Annals of operations research, 2012-10, Vol.199 (1), p.305-341

2012

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Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem

Journal of heuristics, 2018-02, Vol.24 (1), p.25-47

2018

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Selection hyper-heuristics for the multi and many-objective quadratic assignment problem

Computers & operations research, 2022-12, Vol.148, p.105961, Article 105961

2022

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Self-Adapting Evolutionary Parameters: Encoding Aspects for Combinatorial Optimization Problems

Evolutionary Computation in Combinatorial Optimization, 2005, p.154-165

2005

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PerceptSent - Exploring Subjectivity in a Novel Dataset for Visual Sentiment Analysis

IEEE transactions on affective computing, 2023-07, Vol.14 (3), p.1-15

2023

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A soft computing-based approach to spatio-temporal prediction

International journal of approximate reasoning, 2009, Vol.50 (1), p.3-20

2009

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An Artificial Immune System for Fuzzy-Rule Induction in Data Mining

Lecture notes in computer science, 2004, p.1011-1020

2004

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A Multiobjective Algorithm for Protein Structure Prediction Using Adaptive Differential Evolution

2013 Brazilian Conference on Intelligent Systems, 2013, p.263-268

2013

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ELMOEA/D-DE: Extreme Learning Surrogate Models in Multi-objective Optimization Based on Decomposition and Differential Evolution

2014 Brazilian Conference on Intelligent Systems, 2014, p.318-323

2014

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Classifying Venue Categories of Unlabeled Check-ins Using Mobility Patterns

2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS), 2019, p.562-569

2019

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

2015 Brazilian Conference on Intelligent Systems (BRACIS), 2015, p.7-12

2015

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ADEMO/D: Adaptive Differential Evolution for Multiobjective Problems

2012 Brazilian Symposium on Neural Networks, 2012, p.226-231

2012

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IEEE_Xplore

Comparing Selection Hyper-Heuristics for Many-Objective Numerical Optimization

2021 IEEE Congress on Evolutionary Computation (CEC), 2021, p.1921-1928

2021

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Adaptive Operator Selection for Many-Objective Optimization with NSGA-III

Evolutionary Multi-Criterion Optimization, 2017, Vol.10173, p.267-281

2017

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Particle Swarm Optimization Applied to the Dynamic Allocation Problem

2012 Brazilian Symposium on Neural Networks, 2012, p.184-189

2012

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IEEE_Xplore

On the fitness landscapes of interdependency models in the travelling thief problem

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022, p.188-191

2022

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A fitness landscape analysis of the travelling thief problem

Proceedings of the Genetic and Evolutionary Computation Conference, 2018, p.277-284

2018

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Genetic algorithms to automatic weld bead detection in double wall double image digital radiographs

2012 IEEE Congress on Evolutionary Computation, 2012, p.1-7

2012

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IEEE_Xplore

Multi-layer local optima networks for the analysis of advanced local search-based algorithms

Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020, p.219-227

2020

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Multi-label Hierarchical Classification of Protein Functions with Artificial Immune Systems

Advances in Bioinformatics and Computational Biology, p.1-12

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A Hybrid Immune-Based System for the Protein Folding Problem

Evolutionary Computation in Combinatorial Optimization, p.13-24

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Boosting the Performance of MOEA/D-DRA with a Multi-Objective Hyper-Heuristic Based on Irace and UCB Method for Heuristic Selection

2018 IEEE Congress on Evolutionary Computation (CEC), 2018, p.1-8

2018

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ADEMO/D: An adaptive differential evolution for protein structure prediction problem

ADEMO/D: Multiobjective optimization by an adaptive differential evolution algorithm

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

An experimental analysis of evolutionary heuristics for the biobjective traveling purchaser problem

Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem

Selection hyper-heuristics for the multi and many-objective quadratic assignment problem

Self-Adapting Evolutionary Parameters: Encoding Aspects for Combinatorial Optimization Problems

PerceptSent - Exploring Subjectivity in a Novel Dataset for Visual Sentiment Analysis

A soft computing-based approach to spatio-temporal prediction

An Artificial Immune System for Fuzzy-Rule Induction in Data Mining

A Multiobjective Algorithm for Protein Structure Prediction Using Adaptive Differential Evolution

ELMOEA/D-DE: Extreme Learning Surrogate Models in Multi-objective Optimization Based on Decomposition and Differential Evolution

Classifying Venue Categories of Unlabeled Check-ins Using Mobility Patterns

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

ADEMO/D: Adaptive Differential Evolution for Multiobjective Problems

Comparing Selection Hyper-Heuristics for Many-Objective Numerical Optimization

Adaptive Operator Selection for Many-Objective Optimization with NSGA-III

Particle Swarm Optimization Applied to the Dynamic Allocation Problem

On the fitness landscapes of interdependency models in the travelling thief problem

A fitness landscape analysis of the travelling thief problem

Genetic algorithms to automatic weld bead detection in double wall double image digital radiographs

Multi-layer local optima networks for the analysis of advanced local search-based algorithms

Multi-label Hierarchical Classification of Protein Functions with Artificial Immune Systems

A Hybrid Immune-Based System for the Protein Folding Problem

Boosting the Performance of MOEA/D-DRA with a Multi-Objective Hyper-Heuristic Based on Irace and UCB Method for Heuristic Selection

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