Results 21 to 30 of about 2,015 (249)
Pareto dominance-based MOEAs on problems with difficult pareto set topologies
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018 Despite the extensive application of multi-objective evolutionary algorithms (MOEAs) to solve multi-objective optimization problems (MOPs), understanding their working principles is still open to research. One of the most popular and successful MOEA approaches is based on Pareto dominance and its relaxed version, Pareto epsilon-dominance. However, such
Marca, Yuri +6 more
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PLoS ONE, 2020 In many objective optimization problems (MaOPs), more than three distinct objectives are optimized. The challenging part in MaOPs is to get the Pareto approximation (PA) with high diversity and good convergence. In Literature, in order to solve the issue
Uzman Perwaiz +2 more
doaj +1 more source
Pruning Dominated Policies in Multiobjective Pareto Q-Learning [PDF]
, 2018 Supported by: the Spanish Government, Agencia Estatal de Investigaci´on (AEI) and European Union, Fondo Europeo de Desarrollo Regional (FEDER), grant TIN2016-80774-R (AEI/FEDER, UE); and Plan Propio de Investigación de la Universidad de Málaga - Campus de Excelencia Internacional Andalucía Tech.
Mandow-Andaluz, Lorenzo +1 more
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Multi-Target Analysis and Design of Mitochondrial Metabolism. [PDF]
PLoS ONE, 2015 Analyzing and optimizing biological models is often identified as a research priority in biomedical engineering. An important feature of a model should be the ability to find the best condition in which an organism has to be grown in order to reach ...
Claudio Angione +4 more
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A Mating Selection Based on Modified Strengthened Dominance Relation for NSGA-III
Mathematics, 2021 In multi/many-objective evolutionary algorithms (MOEAs), to alleviate the degraded convergence pressure of Pareto dominance with the increase in the number of objectives, numerous modified dominance relationships were proposed. Recently, the strengthened
Saykat Dutta +4 more
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Construction of Generating Feasible Subsets in the Knapsack Problem
Доклады Белорусского государственного университета информатики и радиоэлектроникиA method for constructing a group of generating feasible subsets in the knapsack problem under the condition that the non-dominance depth of a given Pareto layer is greater than zero is developed.
S. V. Chebakov, L. V. Serebryanaya
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Optimum Nozzle Design for a Viscous Liquid by Using Multi-Objective Search Approaches
IEEE Access, 2020 This work deals with the problem of a nozzle design addressed through a multi-objective optimization strategy where governing equations of fluid dynamics model the phenomena.
Victor Dario Cuervo Pinto +3 more
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Feature selection using non-dominant features-guided search for gene expression profile data
Complex & Intelligent Systems, 2023 Gene expression profile data have high-dimensionality with a small number of samples. These data characteristics lead to a long training time and low performance in predictive model construction.
Xiaoying Pan +3 more
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IJAIN (International Journal of Advances in Intelligent Informatics), 2020 Clustering, an unsupervised method of grouping sets of data, is used as a solution technique in various fields to divide and restructure data to become more significant and transform them into more useful information.
Alwatben Batoul Rashed +5 more
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Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source