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Published in 2019 at "Bioinformatics"
DOI: 10.1093/bioinformatics/bty1056
Abstract: Motivation In recent years, single-cell RNA sequencing enables us to discover cell types or even subtypes. Its increasing availability provides opportunities to identify cell populations from single-cell RNA-seq data. Computational methods have been employed to…
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Keywords:
single cell;
cell;
cell rna;
evolutionary multiobjective ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3070071
Abstract: Complex problems can be analyzed by using model simulation but its use is not straight-forward since modelers must carefully calibrate and validate their models before using them. This is specially relevant for models considering multiple…
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Keywords:
calibration;
model;
agent based;
evolutionary multiobjective ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3219854
Abstract: Evolutionary multiobjective algorithms have become a popular choice to tackle the clustering problem. On the one hand, the simultaneous optimization of complementary clustering criteria offers an increased robustness to changes in data characteristics. On the…
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Keywords:
making evolutionary;
multiobjective clustering;
clustering machine;
decision making ... See more keywords
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Published in 2018 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2018.2817236
Abstract: In this paper, we propose an evolutionary multiobjective regenerator placement strategy for elastic optical networks (eMORP). The proposed optimization strategy uses the genetic algorithm NSGA-II to determine non-dominated solutions when the call request blocking probability…
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Keywords:
elastic optical;
regenerator placement;
regenerator;
evolutionary multiobjective ... See more keywords
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Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3165557
Abstract: Decomposition methods have been widely employed in evolutionary algorithms for tackling multiobjective optimization problems (MOPs) due to their good mathematical explanation and promising performance. However, most decomposition methods only use a single ideal or nadir…
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Keywords:
adapting decomposed;
multiobjective optimization;
decomposed directions;
directions evolutionary ... See more keywords
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Published in 2020 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2019.2945241
Abstract: In the last decade, the detection of overlapping communities has received increasing attention in network science. Among various clustering techniques, the fuzzy clustering has been widely adopted in overlapping community detection, since the soft assignment…
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Keywords:
community;
method;
community detection;
overlapping community ... See more keywords