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A Review on Constraint Handling Techniques for Population-based Algorithms: from single-objective to multi-objective optimization

Archives of computational methods in engineering, 2023-04, Vol.30 (3), p.2181-2209

2023

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Pattern Recognition: 16th Mexican Conference, MCPR 2024, Xalapa, Mexico, June 19-22, 2024, Proceedings

1, 2024

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A modified brain storm optimization algorithm with a special operator to solve constrained optimization problems

Applied intelligence (Dordrecht, Netherlands), 2020-12, Vol.50 (12), p.4145-4161

2020

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Constraint Handling in Metaheuristics and Applications

1st Edition 2021, 2021

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Automated parameter tuning as a bilevel optimization problem solved by a surrogate-assisted population-based approach

Applied intelligence (Dordrecht, Netherlands), 2021-08, Vol.51 (8), p.5978-6000

2021

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Cooperative Coevolutionary Particle Swarms using Fuzzy Logic for Large Scale Optimization

Journal of computer science and technology (La Plata), 2021-10, Vol.21 (2), p.e11-e11

2021

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A multi-breakpoints approach for symbolic discretization of time series

Knowledge and information systems, 2020-07, Vol.62 (7), p.2795-2834

2020

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Constraint-handling in nature-inspired numerical optimization: Past, present and future

Swarm and evolutionary computation, 2011-12, Vol.1 (4), p.173-194

2011

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Distance-based immune generalised differential evolution algorithm for dynamic multi-objective optimisation

International journal of bio-inspired computation, 2021, Vol.18 (2), p.69

2021

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Constraint-handling in genetic algorithms through the use of dominance-based tournament selection

Advanced engineering informatics, 2002-07, Vol.16 (3), p.193-203

2002

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Metaheuristics to solve grouping problems: A review and a case study

Swarm and evolutionary computation, 2020-03, Vol.53, p.100643, Article 100643

2020

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Application of the performance of machine learning techniques as support in the prediction of school dropout

Scientific reports, 2024-02, Vol.14 (1), p.3957-3957, Article 3957

2024

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Variation Operators for Grouping Genetic Algorithms: A Review

Swarm and evolutionary computation, 2021-02, Vol.60, p.100796, Article 100796

2021

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Advances in Computational Intelligence. MICAI 2023 International Workshops: WILE 2023, HIS 2023, and CIAPP 2023, Yucatán, Mexico, November 13-18, 2023, Proceedings

1, 2024

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A multi-objective genetic algorithm to find active modules in multiplex biological networks

PLoS computational biology, 2021-08, Vol.17 (8), p.e1009263-e1009263

2021

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Multiobjective Evolutionary Algorithms in Aeronautical and Aerospace Engineering

IEEE transactions on evolutionary computation, 2012-10, Vol.16 (5), p.662-694

2012

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Surrogate-Assisted Symbolic Time-Series Discretization Using Multi-Breakpoints and a Multi-Objective Evolutionary Algorithm

Mathematical and computational applications, 2024-09, Vol.29 (5), p.78

2024

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Elitist Artificial Bee Colony for constrained real-parameter optimization

IEEE Congress on Evolutionary Computation, 2010, p.1-8

2010

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A metaheuristic for a numerical approximation to the mass transfer problem

International journal of applied mathematics and computer science, 2016-12, Vol.26 (4), p.757-766

2016

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Design of a Three-Phase Shell-Type Distribution Transformer Using Evolutionary Algorithms

Energies (Basel), 2023-05, Vol.16 (10), p.4016

2023

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Feature Selection on 2D and 3D Geometric Features to Improve Facial Expression Recognition

Sensors (Basel, Switzerland), 2020-08, Vol.20 (17), p.4847

2020

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Induction of Convolutional Decision Trees with Success-History-Based Adaptive Differential Evolution for Semantic Segmentation

Mathematical and computational applications, 2024-08, Vol.29 (4), p.48

2024

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asMODiTS: An application of surrogate models to optimize Time Series symbolic discretization through archive-based training set update strategy

MethodsX, 2024-12, Vol.13, p.102840, Article 102840

2024

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Variable Decomposition for Large-Scale Constrained Optimization Problems Using a Grouping Genetic Algorithm

Mathematical and computational applications, 2022-04, Vol.27 (2), p.23

2022

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Vehicle Make and Model Recognition as an Open-Set Recognition Problem and New Class Discovery

Mathematical and computational applications, 2023-07, Vol.28 (4), p.80

2023

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A Review on Constraint Handling Techniques for Population-based Algorithms: from single-objective to multi-objective optimization

Pattern Recognition: 16th Mexican Conference, MCPR 2024, Xalapa, Mexico, June 19-22, 2024, Proceedings

A modified brain storm optimization algorithm with a special operator to solve constrained optimization problems

Constraint Handling in Metaheuristics and Applications

Automated parameter tuning as a bilevel optimization problem solved by a surrogate-assisted population-based approach

Cooperative Coevolutionary Particle Swarms using Fuzzy Logic for Large Scale Optimization

A multi-breakpoints approach for symbolic discretization of time series

Constraint-handling in nature-inspired numerical optimization: Past, present and future

Distance-based immune generalised differential evolution algorithm for dynamic multi-objective optimisation

Constraint-handling in genetic algorithms through the use of dominance-based tournament selection

Metaheuristics to solve grouping problems: A review and a case study

Application of the performance of machine learning techniques as support in the prediction of school dropout

Variation Operators for Grouping Genetic Algorithms: A Review

Advances in Computational Intelligence. MICAI 2023 International Workshops: WILE 2023, HIS 2023, and CIAPP 2023, Yucatán, Mexico, November 13-18, 2023, Proceedings

A multi-objective genetic algorithm to find active modules in multiplex biological networks

Multiobjective Evolutionary Algorithms in Aeronautical and Aerospace Engineering

Surrogate-Assisted Symbolic Time-Series Discretization Using Multi-Breakpoints and a Multi-Objective Evolutionary Algorithm

Elitist Artificial Bee Colony for constrained real-parameter optimization

A metaheuristic for a numerical approximation to the mass transfer problem

Design of a Three-Phase Shell-Type Distribution Transformer Using Evolutionary Algorithms

Feature Selection on 2D and 3D Geometric Features to Improve Facial Expression Recognition

Induction of Convolutional Decision Trees with Success-History-Based Adaptive Differential Evolution for Semantic Segmentation

asMODiTS: An application of surrogate models to optimize Time Series symbolic discretization through archive-based training set update strategy

Variable Decomposition for Large-Scale Constrained Optimization Problems Using a Grouping Genetic Algorithm

Vehicle Make and Model Recognition as an Open-Set Recognition Problem and New Class Discovery

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