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09/07/2023
Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory
With the increasing importance of data privacy protection, various priva...
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05/01/2023
A Parameter-free Adaptive Resonance Theory-based Topological Clustering Algorithm Capable of Continual Learning
In general, a similarity threshold (i.e., a vigilance parameter) for a n...
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09/07/2022
Effects of Archive Size on Computation Time and Solution Quality for Multi-Objective Optimization
An unbounded external archive has been used to store all nondominated so...
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04/22/2022
Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-based Clustering for Many-objective Optimization
Decomposition-based multiobjective evolutionary algorithms (MOEAs) with ...
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03/18/2022
Class-wise Classifier Design Capable of Continual Learning using Adaptive Resonance Theory-based Topological Clustering
This paper proposes a supervised classification algorithm capable of con...
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03/04/2022
HV-Net: Hypervolume Approximation based on DeepSets
In this letter, we propose HV-Net, a new method for hypervolume approxim...
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01/26/2022
Adaptive Resonance Theory-based Topological Clustering with a Divisive Hierarchical Structure Capable of Continual Learning
Adaptive Resonance Theory (ART) is considered as an effective approach f...
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01/18/2022
Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation
Hypervolume contribution is an important concept in evolutionary multi-o...
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01/18/2022
Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization
In the evolutionary multi-objective optimization (EMO) field, the standa...
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08/19/2021
Clustering-Based Subset Selection in Evolutionary Multiobjective Optimization
Subset selection is an important component in evolutionary multiobjectiv...
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06/21/2021
On fine-tuning of Autoencoders for Fuzzy rule classifiers
Recent discoveries in Deep Neural Networks are allowing researchers to t...
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04/20/2021
Hypervolume-Optimal μ-Distributions on Line/Plane-based Pareto Fronts in Three Dimensions
Hypervolume is widely used in the evolutionary multi-objective optimizat...
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03/02/2021
Multi-label Classification via Adaptive Resonance Theory-based Clustering
This paper proposes a multi-label classification algorithm capable of co...
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02/01/2021
Fast Greedy Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization
Subset selection is an interesting and important topic in the field of e...
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01/31/2021
Niching Diversity Estimation for Multi-modal Multi-objective Optimization
Niching is an important and widely used technique in evolutionary multi-...
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12/14/2020
Evolutionary Multi-Objective Optimization Algorithm Framework with Three Solution Sets
It is assumed in the evolutionary multi-objective optimization (EMO) com...
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10/02/2020
An Analysis of Control Parameters of MOEA/D Under Two Different Optimization Scenarios
An unbounded external archive (UEA), which stores all nondominated solut...
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10/01/2020
Review and Analysis of Three Components of Differential Evolution Mutation Operator in MOEA/D-DE
A decomposition-based multi-objective evolutionary algorithm with a diff...
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10/01/2020
A Niching Indicator-Based Multi-modal Many-objective Optimizer
Multi-modal multi-objective optimization is to locate (almost) equivalen...
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09/30/2020
Non-elitist Evolutionary Multi-objective Optimizers Revisited
Since around 2000, it has been considered that elitist evolutionary mult...
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09/30/2020
A Framework to Handle Multi-modal Multi-objective Optimization in Decomposition-based Evolutionary Algorithms
Multi-modal multi-objective optimization is to locate (almost) equivalen...
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09/28/2020
A Review of Evolutionary Multi-modal Multi-objective Optimization
Multi-modal multi-objective optimization aims to find all Pareto optimal...
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09/27/2020
An Easy-to-use Real-world Multi-objective Optimization Problem Suite
Although synthetic test problems are widely used for the performance ass...
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09/27/2020
An Analysis of Quality Indicators Using Approximated Optimal Distributions in a Three-dimensional Objective Space
Although quality indicators play a crucial role in benchmarking evolutio...
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08/17/2020
Decomposition-Based Multi-Objective Evolutionary Algorithm Design under Two Algorithm Frameworks
The development of efficient and effective evolutionary multi-objective ...
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07/27/2020
Algorithm Configurations of MOEA/D with an Unbounded External Archive
In the evolutionary multi-objective optimization (EMO) community, it is ...
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06/15/2020
Solution Subset Selection for Final Decision Making in Evolutionary Multi-Objective Optimization
In general, a multi-objective optimization problem does not have a singl...
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04/21/2020
A Decomposition-based Large-scale Multi-modal Multi-objective Optimization Algorithm
A multi-modal multi-objective optimization problem is a special kind of ...
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03/22/2020
Effects of Discretization of Decision and Objective Spaces on the Performance of Evolutionary Multiobjective Optimization Algorithms
Recently, the discretization of decision and objective spaces has been d...
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01/25/2018
Soft Computing Techniques for Dependable Cyber-Physical Systems
Cyber-Physical Systems (CPS) allow us to manipulate objects in the physi...
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06/08/2017
