A two‐stage many‐objective evolutionary algorithm with dynamic generalized Pareto dominance
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23016
Abstract: Many‐objective evolutionary algorithms (MaOEAs) are widely used to solve many‐objective optimization problems. As the number of objectives increases, it is difficult to achieve a balance between the population diversity and the convergence. Additionally, the selection… read more here.
Keywords: many objective; generalized pareto; two stage; dynamic generalized ... See more keywords
Ensemble of many-objective evolutionary algorithms for many-objective problems
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DOI: 10.1007/s00500-015-1955-3
Abstract: The performance of most existing multiobjective evolutionary algorithms deteriorates severely in the face of many-objective problems. Many-objective optimization has been gaining increasing attention, and many new many-objective evolutionary algorithms (MaOEA) have recently been proposed. On… read more here.
Keywords: objective evolutionary; many objective; different maoeas; objective problems ... See more keywords
Distance-dependent parameter adaption for multi-objective evolutionary algorithm based on decomposition
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DOI: 10.1007/s00500-017-2980-1
Abstract: Multi-objective evolutionary algorithm based on decomposition (MOEA/D) has been proved competitive in tackling complex multi-objective optimization problems. However, the performance of MOEA/D is very sensitive to its parameter settings. Differential evolutionary (DE) operator is the… read more here.
Keywords: evolutionary algorithm; moea; objective evolutionary; distance ... See more keywords
Hypothesis derivation and its verification by a wholly automated many-objective evolutionary optimization system
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-05786-1
Abstract: This study has constructed a fully automated multidisciplinary and many-objective evolutionary design optimization system independent of computer environments to evaluate objective functions; the research applied it to a geometric design problem of a flyback booster… read more here.
Keywords: optimization; optimization system; objective evolutionary; many objective ... See more keywords
A multi-objective evolutionary approach for the nonlinear scale-free level problem
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DOI: 10.1007/s10489-020-01788-z
Abstract: Procedural Content Generation in games aims to produce replayable levels that might adapt to the player or designer preferences. One of the most popular approaches adopted for search-based level generation is the use of Evolutionary… read more here.
Keywords: scale free; objective evolutionary; multi objective; evolutionary approach ... See more keywords
A multi-level knee point based multi-objective evolutionary algorithm for AUC maximization
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DOI: 10.1007/s12293-019-00280-7
Abstract: The area under receiver operating characteristic curve (AUC) is one of the widely used metrics for measuring imbalanced data classification results. Designing multi-objective evolutionary algorithms for AUC maximization problem has attracted much attention of researchers… read more here.
Keywords: auc maximization; objective evolutionary; auc; knee ... See more keywords
Optimizing Partition Granularity, Membership Function Parameters, and Rule Bases of Fuzzy Classifiers for Big Data by a Multi-objective Evolutionary Approach
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DOI: 10.1007/s12559-018-9613-6
Abstract: Classical data mining algorithms are considered inadequate to manage the volume, variety, velocity, and veracity aspects of big data. The advent of a number of open-source cluster-computing frameworks has opened new interesting perspectives for handling… read more here.
Keywords: big data; objective evolutionary; granularity; multi objective ... See more keywords
Application of Single- and Multi-Objective Evolutionary Algorithms for Optimal Nonlinear Controller Design in Boiler–Turbine System
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-017-0382-2
Abstract: This paper presents an application of evolutionary algorithm techniques for optimal nonlinear controller design in drum-type boiler–turbine system. Designing of controller for third-order boiler–turbine system is always a complicated task due to the presence of… read more here.
Keywords: objective evolutionary; multi objective; controller; boiler turbine ... See more keywords
A constraint multi-objective evolutionary optimization of a state-of-the-art dew point cooler using digital twins
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DOI: 10.1016/j.enconman.2020.112772
Abstract: Abstract This study is pioneered in developing digital twins using Feed-forward Neural Network (FFNN) and multi objective evolutionary optimization (MOEO) using Genetic Algorithm (GA) for a counter-flow Dew Point Cooler with a novel Guideless Irregular… read more here.
Keywords: dew point; digital twins; multi objective; objective evolutionary ... See more keywords
Constructing Robust Cooperative Networks using a Multi-Objective Evolutionary Algorithm
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DOI: 10.1038/srep41600
Abstract: The design and construction of network structures oriented towards different applications has attracted much attention recently. The existing studies indicated that structural heterogeneity plays different roles in promoting cooperation and robustness. Compared with rewiring a… read more here.
Keywords: cooperative networks; evolutionary algorithm; objective evolutionary; multi objective ... See more keywords
A New Many-Objective Evolutionary Algorithm Based on Generalized Pareto Dominance.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3051078
Abstract: In the past several years, it has become apparent that the effectiveness of Pareto-dominance-based multiobjective evolutionary algorithms deteriorates progressively as the number of objectives in the problem, given by M, grows. This is mainly due… read more here.
Keywords: pareto; dominance; objective evolutionary; pareto dominance ... See more keywords